Total 23 payroll analyst job vacancies in Information Technology category in Indonesia

Mengumpulkan Data: Mengambil data dari berbagai sumber (database, laporan, atau sistem).

Mengidentifikasi Tren: Menemukan pola, tren, dan wawasan penting dari data

Membuat Laporan: Menyajikan hasil analisis dalam bentuk laporan, grafik, atau visualisasi data.

Berkoordinasi dengan Tim: Bekerja sama dengan tim lain untuk memahami kebutuhan data dan bisnis.

Kualifikasi :

1. Pria / Wanita

2. Menguasai SQL

3. Menguasai Phyton

4. Mahir Microsoft Excel

5. Tablue

Ketentuan :

1. Jujur dan bertanggung jawab Dapat bekerja dengan tim
2. Berpengalaman di bidang yang di butuhkan
3. Min S1 Sistem Informasi / TI / Engineer / MIPA

• Mempersiapkan dan menyortir dokumen sebelum datanya dimasukkan ke dalam komputer.
• Memasukkan data ke dalam database milik perusahaan.
• Memeriksa dan memastikan keakuratan data yang sudah dimasukkan ke dalam database.
• Menyelesaikan perbedaan informasi dan data yang tidak lengkap.
• Membuat data cadangan yang menjadi bagian dari rencana kontingensi.
• Menanggapi permintaan informasi dari anggota yang berwenang.
• Menguji sistem database baru dan pembaruan dari perangkat lunak.
• Mengelola dokumen dan catatan dengan baik.
• Menyiapkan laporan yang relevan sesuai dengan kebutuhan.
• Menerima dan memproses invoice untuk pembayaran dan memperbarui rincian invoice.
• Mengidentifikasi dan mengoreksi kesalahan saat memasukkan data menggunakan metode kontrol kualitas yang sesuai.

DESKRIPSI PEKERJAAN

• Memiliki Pengetahuan dasar dalam proses bisnis IT, Database dan Update Informasi terbaru;
• Pengetahuan dasar dalam konsep Database serta update informasi terbaru;
• Menguasai skill dasar dalam database, terutama oracle database dan MSSQL;
• Mampu memahami script sistem (minimum bash dan shell programming) dan operating System;
• Manajemen proses, Komunikasi, Penyelesaian masalah;
• Ketelitian dan keakuratan dalam menganalisa;
• Melakukan eksekusi instalasi dan konfigurasi database; 
• Membuat draft dokumentasi konfigurasi dan topologi database; 
• Melakukan eksekusi instalasi dan konfigurasi database;
• Membuat draft dokumentasi konfigurasi dan topologi database; 
• Membantu proses analisa masalah dan melakukan perbaikan; 
• Melakukan pendampingan preventive maintenance database; 
• Membuat draft dokumen hasil monitoring database, laporan proses backup dan replikasi database; 
• Melakukan identifikasi dan mitigasi risiko Database; 
• Membuat draft dokumentasi instalasi dan konfigurasi database; 
• Bekerja sama dengan pihak ketiga terkait perencanaan, pengelolaan dan operasional database.

What You'll Do

• Creating report for all digital marketing campaign : Influencer marketing, and paid media buying.
• Research, perform benchmarking, analyze data, and help make recommendations.
• Work closely with Digital Marketing team to gather data and information due to creating the analysis
• Monitoring market trends so that can bring some recommendation for the report
• Understand the campaign and the client very well in order to prepare the appropriate report
• Maintain the deadline for the report generation
• Produce data visualization with a strong storytelling element.
• Develop a market insight / market trend due to help the Digital Marketing team for supporting data while on pitch

Deskripsi Pekerjaan

PT. Cargo Squad Indonesia membuka kesempatan berkarir untuk posisi Data Analyst yang akan bertanggung jawab dalam menganalisis dan mengelola data operasional kendaraan angkutan barang perusahaan.

Tanggung Jawab:

- Mengumpulkan dan menganalisis data operasional armada kendaraan (utilization rate, fuel consumption, maintenance records)

- Membuat dashboard dan laporan performa kendaraan secara berkala

- Mengidentifikasi pola dan tren dalam data operasional untuk optimasi rute dan efisiensi bahan bakar

- Memberikan rekomendasi berbasis data untuk peningkatan operasional dan pemeliharaan armada

- Mengembangkan sistem tracking dan monitoring kendaraan yang efektif

- Berkolaborasi dengan tim operasional untuk implementasi solusi berbasis data

Kualifikasi:

- Pendidikan minimal SMA Sederajat

- Pengalaman minimal 2 tahun di bidang analisis data, lebih disukai di industri logistik/transportasi

- Mahir menggunakan MS Excel

- Pemahaman yang baik tentang fleet management dan logistics operations

- Kemampuan analitis yang kuat dan attention to detail

- Komunikatif dan dapat bekerja dalam tim

- Work closely with stakeholders to understand their data needs and requirements.
- Analyze business needs & build dashboard/analytical solutions for stakeholders to support their decision making.
- Improve data quality and resolve data related issues that may occur together with data engineer and other related parties.
- Communicate and present data to stakeholders and manage their expectation
- Design and build data marts to enable self-service analytics

Data analyst adalah profesi pekerjaan yang tugasnya untuk membaca serta menganalisis data yang ada dari perusahaan dalam rangka keberlangsungan perusahaan tersebut. Di era digitalisasi seperti sekarang profesi terkait pengolahan data sangat menjamur dan dibutuhkan oleh perusahaan-perusahaan.

INDICO is a subsidiary of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios.

As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy. Currently, INDICO is expanding its business in Agritech and Agribusiness named Telkomsel DFE (www.dfe.farm/).

INDICO believes we can reach beyond to empower Indonesians and enable businesses through our strong core values of EPIC WAY (Excellence, Positivity, Impactful Collaboration, Customer First, Walk the Talk, Accountability, Yes-if Mindset).

What you will do, but not limited to:

• Collect, clean and transform data from various sources into a standardize format.
• Build, train and evaluate machine learning models based on the specified design.
• Create clear and informative visualizations/report to effectively communicate findings and insights to stakeholders.

• Bachelor's degree in Mathematics, Computer Science, Physics and related field, or having related experience/project in Machine learning model
• Experience working with Python programming language
• Familiarity with Exploratory Data Analysis (EDA) using Python and it's relevant module (pandas, numpy)
• Understanding of fundamental Machine Learning (supervised vs unsupervised, different type of ML models, evaluation model: recall vs precission)
• Having experience build, train and evaluate a machine learning model (with sklearn, pytorch or tensorflow).
• Good analytical and problem-solving problem
• Eagerness to learn and adapt in a fast-paced environment

Tugas dan Tanggung Jawab:

1. Pengumpulan dan Pemrosesan Data:

• Mengumpulkan data dari berbagai sumber seperti database perusahaan, website, survei, atau sistem pelacakan bisnis.
• Mengatur, membersihkan, dan memproses data mentah untuk memastikan akurasi dan konsistensinya.

1. Analisis Data:

• Menganalisis data menggunakan alat statistik dan software analitik untuk mengidentifikasi tren, pola, dan hubungan.
• Menggunakan metode kuantitatif untuk mengevaluasi performa bisnis atau kinerja produk.

1. Pembuatan Laporan dan Visualisasi Data:

• Membuat laporan berkala yang berisi temuan dari data analisis.
• Menggunakan alat visualisasi data seperti Tableau, Power BI, atau Excel untuk menyajikan data dalam bentuk yang mudah dipahami oleh manajemen dan tim lain.

1. Memberikan Wawasan untuk Pengambilan Keputusan:

• Menginterpretasikan data untuk memberikan wawasan yang dapat membantu perusahaan dalam pengambilan keputusan strategis.
• Memberikan rekomendasi berbasis data yang mendukung efisiensi operasional, pemasaran, pengembangan produk, atau strategi penjualan.

1. Pemantauan KPI dan Kinerja:

• Memantau Key Performance Indicators (KPI) perusahaan dan memberikan analisis performa secara berkala.
• Mengidentifikasi area-area yang memerlukan peningkatan berdasarkan hasil analisis KPI.

1. Kolaborasi dengan Tim Lintas Divisi:

• Bekerja sama dengan tim bisnis, pemasaran, produk, dan manajemen untuk memahami kebutuhan data dan menyusun analisis yang relevan.
• Menyampaikan hasil analisis data kepada tim non-teknis dalam bahasa yang mudah dipahami.

1. Automasi Proses Data:

• Mengotomatisasi proses pengumpulan dan pemrosesan data menggunakan alat atau bahasa pemrograman seperti SQL, Python, atau R.
• Membangun dashboard atau sistem laporan otomatis yang dapat diakses oleh tim lain untuk pemantauan data secara real-time.

1. Penelitian Pasar dan Analisis Kompetitif:

• Menganalisis data pasar dan pesaing untuk mengidentifikasi tren industri dan peluang bisnis baru.
• Menyediakan analisis benchmarking yang membandingkan kinerja perusahaan dengan kompetitor.

1. Pemecahan Masalah Berbasis Data:

• Menyediakan solusi berbasis data untuk masalah operasional, pemasaran, atau produk.
• Mengembangkan model prediksi untuk memperkirakan hasil masa depan berdasarkan data historis.

1. Analisis Pelanggan dan Perilaku Konsumen:

• Menganalisis data perilaku pelanggan untuk memahami preferensi, kebutuhan, dan pola pembelian.
• Memberikan wawasan yang dapat membantu tim pemasaran dan pengembangan produk dalam menargetkan pelanggan dengan lebih efektif.

1. Working closely with strategic planners in providing needed data;
2. Maintaining, updating, and doing daily reports of sales performance and operation monitoring;
3. Creating queries in Google Bigquery; and
4. Adjusting and maintaining Zoho CRM to maintain sales performance and operation records.

DESKRIPSI PEKERJAAN

• Melakukan eksekusi instalasi dan konfigurasi database;
• Membuat draft dokumentasi konfigurasi dan topologi database;
• Melakukan eksekusi instalasi dan konfigurasi database;
• Membuat draft dokumentasi konfigurasi dan topologi database;
• Membantu proses analisa masalah dan melakukan perbaikan
• Melakukan pendampingan preventive maintenance database;
• Membuat draft dokumen hasil monitoring database, laporan proses backup dan replikasi database;
• Melakukan identifikasi dan mitigasi risiko Database;
• Membuat draft dokumentasi instalasi dan konfigurasi database;
• Bekerja sama dengan pihak ketiga terkait perencanaan, pengelolaan dan operasional database

DESKRIPSI PEKERJAAN

• Melakukan administrasi data;
• Menyiapkan rencana untuk arsitektur dan prosedur ETL (Extract/Transformation/Load);
• Memvalidasi hasil dari prosedur ETL;
• Memonitor dan melakukan tuning data dan queries;
• Melakukan proses pengumpulan dan Analisa data dari berbagai sumber;
• Memastikan kualitas data dengan melakukan validasi, pembersihan dan pemeliharaan rutin data yang digunakan dalam analisis;
• Belajar dan Mengembangkan Ketrampilan : menggunakan kesempatan untuk belajar dan mengembangkan ketrampilan analitis, teknis dan komunikasi.

If you are up for this challenges

• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Provide source-to-target mappings and information-model specification documents for data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Senior Data Analyst (Risk), you will be at the intersection of our Business and Data in Funding Societies, working primarily with our Risk and Credit teams.

We are looking for a candidate with a strong sense of ownership, a deep appreciation of data and fundamental understanding of end-to-end analytics functions. As long as you are adding value to the business, you are your own boss. The way we work doesn’t suit everyone. But if you are humble, love autonomy and enjoy life changing professional challenges, we could be perfect for each other.

What you will do:

• Collaborate with cross-functional and cross-regional stakeholders to understand business drivers, formulate and complete end-to-end analytics solution.
• Design, develop and maintain self-service reports, dashboards and analysis on interactive BI tools for easier data visualization
• Contribute in collection, processing and modelling of financial data using SQL from complex databases to integrate into data warehouse that can be used for reporting/analysis and to give recommendations and drive decision making
• Deliver effective presentations of findings and recommendations to different audiences, creating visual displays of quantitative information that drives financial decisions in the business
• Find innovative and creative ways to obtain and drill insights from new financial data

What we are looking for:

• Minimum 3 years experience in credit risk / risk management / data analytics.
• Passionate in analysing and interpreting data patterns to drive business decisions, understanding Data Warehousing and ETL would be a plus!
• Highly proficient in SQL / Python and business intelligence tools (e.g. Tableau, Sisense, PowerBI).
• Excellent communication, project management, and stakeholder management skills in order to collaborate confidently with decision makers across different regions and departments.
• CFA / FRM / Chartered Banker would be an added advantage.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

We are looking for an experienced System Analyst to join our team! As a System Analyst, this position will play a critical role in the transformation process, working closely with the Product Manager, Engineer and Business Development to develop and maintain the technical documentation.

Responsibilities

• You will take the role of a Devil's Advocate to criticize the decision and the system.
• Actively lead and manage initiatives/projects.
• Exceptional writing skills to describe business process and technical details in a concise yet easily understandable wordings.
• Develop, analyze, prioritize, maintain, and organize requirement specifications, data mapping, Entity-Relationship Diagrams (ERD), UML diagrams, prototypes, wireframes, and flowcharts for developers and testers to follow, ensuring all deliverables are aligned with stakeholder expectations.
• Translate highly technical specifications into clear non-technical requirements
• Define and coordinate the execution of testing procedures, and develop test cases to serve the overall quality assurance process
• Provide documentation of all processes and training as needed
• Protect operations by keeping the information confidential.
• Provide information to internal/external customers by collecting, analyzing, and summarizing development and service issues.
• Actively participate in testing and provide support to stakeholders.

• Min. 3+ years experience working as systems analyst, or related role.
• Excellent ability to analyze, model and interpret data using different tools and techniques.
• Proficiency in Technical Diagram and Writing Tools.
• Hands-on experience with software development and documentation, coupled with experience in leading or initiating project management, would be valuable for a role as a product manager.
• Proven ability to assess business needs and translate them into relevant solutions.
• Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
• Experienced in using documentation tools like Notion, Draw.io, Whimsical etc.
• Experience in trading system, or have ever used a trading platform is a big plus.
• Preferably has technical background, has experience on a system lot of users.
• Plus point, if you understand system design (CAP theorem, etc).

• Supportive teammates
• Health insurance benefits
• Self development activities that support careers
• Broaden your knowledge in financial investment

We are looking for a Data Analyst who will conduct research and in-depth analyses to drive revenue and business growth. You will also translate the analysis into impactful insights and recommendations for diverse stakeholders and management. Overall, your day-to-day responsibilities will revolve around:

• Serving as a strategic advisor, partnering with cross-functional teams to understand business objectives, challenges, and opportunities
• Collaborating with business stakeholders (Product, Marketing, etc) to develop data-driven strategies and action plans to optimize business processes, improve operational efficiency, and drive cost savings
• Analyzing customer behavior and segmentation to identify acquisition, retention, and satisfaction opportunities
• Identifying and implementing A/B testing and experimentation initiatives to evaluate the impact of different strategies, features, and campaigns
• Translating data analysis findings into clear, concise recommendations to drive revenue growth, optimize marketing initiatives, and improve product performance
• Conducting comprehensive data analysis, leveraging advanced statistical methods and analytical tools to uncover actionable insights and trends
• Developing impactful reports, dashboards, and presentations to communicate insights, recommendations, and progress to stakeholders at all levels of the organization

• A Bachelor's degree, preferably in Statistics, Mathematics, Economics, or Engineering
• Have at least 2 years of relevant work experience in management/strategic consulting, banking, fintech, e-commerce, and/or start-ups
• Experience in analyzing & quantifying complex strategic issues tied to long-term business growth
• Strong foundation in data query/manipulation using SQL and data visualization using tools like Tableau
• Strong business sense and ability to articulate complex analysis results to a wide range of audiences, and translate these to actionable business insights
• Possess structured critical thinking and detail-oriented
• Effective communicator to both technical and business audiences

• Capital market sharing session
• Flexible work arrangement
• Self development program
• Health insurance benefits
• Well being and counseling program

We are looking for a Senior Data Analyst who will conduct research and in-depth analyses to drive revenue and business growth. You will also translate the analysis into impactful insights and recommendations for diverse stakeholders and management. Overall, your day-to-day responsibilities will revolve around:

• Serving as a strategic advisor, partnering with cross-functional teams to understand business objectives, challenges, and opportunities
• Collaborating with business stakeholders (Growth, Product, Marketing, etc) to develop data-driven strategies and action plans to optimize business processes, improve operational efficiency, and drive cost savings
• Analyzing customer behavior and segmentation to identify acquisition, retention, and satisfaction opportunities
• Identifying and implementing A/B testing and experimentation initiatives to evaluate the impact of different strategies, features, and campaigns
• Translating data analysis findings into clear, concise recommendations to drive revenue growth, optimize marketing initiatives, and improve product performance
• Conducting comprehensive data analysis, leveraging advanced statistical methods and analytical tools to uncover actionable insights and trends
• Developing impactful reports, dashboards, and presentations to communicate insights, recommendations, and progress to stakeholders at all levels of the organization

• A Bachelor's degree, preferably in Computer Science, Statistics, Mathematics, Economics, or Engineering
• Have at least 2 years of relevant work experience in management/strategic consulting, banking, fintech, e-commerce, and/or start-ups
• Experience in analyzing & quantifying complex strategic issues tied to long-term business growth
• Strong foundation in data query/manipulation using SQL and data visualization using tools like Tableau
• Strong business sense and ability to articulate complex analysis results to a wide range of audiences, and translate these to actionable business insights
• Possess structured critical thinking and detail-oriented
• Effective communicator to both technical and business audiences

• Capital market sharing session
• Flexible work arrangement
• Self development program
• Health insurance benefits
• Well being and counseling program

About the role

Join Amartha as a data analyst in our New Retail business unit. As an important member of our team, you will play a critical role in shaping the future of Amartha One's digital services products. Your skills in data analysis and strategic thinking will play a critical role in driving our mission to have an immediate impact on Amartha One agents

Responsibilities

• Carrying out comprehensive data analysis of Amarthaone agents from acquisition to activation
• Coordinate with FO team to drive weekly milestones
• Recommend solutions to improve acquisition and activation efficiency
• Designing new initiatives to help increase weekly productivity achievements
• Monitor amartha one Agent performance and lead continuous improvement initiatives

The qualifications that you must have

• A Bachelor’s degree in Math, Engineering, Computer Science of related field from reputable university
• Preferably more than 2 year experience in data analytics or business analysis
• Strong analytical skills with the ability to interpret complex data and translate findings into strategic insights and actionable recommendations
• Fluency in Bahasa Indonesia and English, both written and spoken

Moladin is Indonesia's leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years. As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. Please refer to our website at https://moladin.com/en/ for more information.

Responsibilities

• Lead data analysis projects from inception to completion, including data collection, cleansing, processing, and analysis.
• Develop and refine pricing models and algorithms to optimize pricing decisions.
• Develop predictive models and algorithms to support business forecasting, optimization, and decision-making processes.
• Collaborate closely with cross-functional teams, including Operations, Strategy, Business, Product and Engineering, to understand the business requirements and translate them into actionable insights.
• Design and develop data visualizations, dashboards, and reports to communicate findings and recommendations effectively to stakeholders.
• Stay current with industry trends, emerging technologies, and best practices in data analysis and data science, and contribute to continuous improvement initiatives within the team.
• Apply advanced statistical techniques and algorithms to identify patterns, trends, and correlations in large datasets.

• Minimum 4 years of experience with data analysis, business intelligence, or data science roles, preferably a fast-paced environment in a FinTech firm.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• Previous experience in working along with the Pricing teams is preferred, in the automotive industry.
• Understanding of the used car market, pricing dynamics, and customer behavior in the automotive industry is a plus.
• Proficiency in SQL, Github, and Python, or other programming languages for data analysis and statistical modeling.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib or seaborn is good to have.
• Strong analytical and problem-solving skills, with the ability to think critically and independently.
• Excellent communication and interpersonal skills, with the ability to present technical concepts to non-technical stakeholders.
• Proven track record of delivering high-quality analysis and actionable insights that drive business impact.
• Experience working with large datasets, structured and unstructured data, and data preprocessing techniques.
• Familiarity with basic machine learning techniques such as regression, classification, clustering, and time series analysis.

• Daily review key collection indicators and present highlights to the Head of Collection.
• Conduct regular analysis of agent productivity metrics.
• Develop a thorough understanding of the collection process to address any related issues.
• Perform in-depth analysis of the collection portfolio as needed and provide recommendations for improvement.
• Perform monthly inventory planning to ensure sufficient collection capacity.
• Provide assistance to collection managers with collection tools and system support.
• Actively participate in collection system enhancement.

• Minimum of a Bachelor's degree or demonstrate equivalent experience, with a preference for backgrounds in finance, banking, or related fields.
• Possess a dynamic 2-year track record as a Quality Control (QC) specialist, Investigator, or Auditor.
• Exhibit a passionate interest in the dynamic and evolving landscape of financial technology industries.
• Showcase effective coaching, facilitation, presentation, and team-building abilities.
• Demonstrate proficiency in Microsoft Office, Google Sheets, and Google Drive.
• Display an unwavering attention to detail and precision in your work.
• Harness strong communication, investigation, and negotiation skills.
• Leverage robust analytical capabilities to navigate complex challenges.
• Fluent in both Bahasa and English (preferably).

• Data Analysis - Collect, clean, and analyze large datasets to derive meaningful insights related to user behavior, product performance, and market trends
• User Behaviour and Analysis - Conduct deep-dive analyses on user journeys, user engagement, and conversion funnels to identify opportunities for product improvements
• A/B Testing - Collaborate with the product team to design, execute and analyse A/B tests to evaluate the impact of product changes and new features
• Reporting - Develop and maintain automated dashboards and reports to monitor key performance indicators (KPIs) and track product metrics

• At least 3 years of working experience as a data analyst preferably in a technolgy driven organization
• Proficiency in SQL and data visualization tools (e.g., Data Studio)
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Experience with A/B testing methodologies and statistical analysis
• Excellent communication skills to convey complex data findings in a clear and understandable manner
• Familiarity with programming languages (e.g., Python) is a plus

• Opportunity to make an impact to the world by transforming urban transportation.
• Be part of a hyper-growth organization with plenty of opportunities to springboard your career.
• Flexible and autonomous working environment with highly motivated and competent colleagues.

The Beam Group of Companies is an equal employment opportunity (EEO) organization. We are dedicated to providing an inclusive and diverse working environment where all are welcome regardless of race, language, religion, gender, nationality, age, disability or other divisive categorizations.

By submitting an application and/or confirming your candidacy, you acknowledge that you have read the Privacy Policy and consent to the Beam Group of Companies processing your data in accordance with the Privacy Policy. Please contact us if you change your mind at any time in relation to the consent you have provided.

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a highly motivated and skilled Lead Data Analyst - Finance to join our dynamic team at Funding Societies. As a lead data analyst, you will be part of a fun team which will be working to support all business functions with finance focus in Funding Societies. In short, the function of a data analyst is to understand the needs of the business and use data to derive a solution that you will then present, implement, and track and add value to the company and its performance. In addition to having a knack for problem-solving, it is crucial that you are willing to learn, understand, and hear the needs of our people.  We solve challenging problems. As long as you are adding value to the business, you are your own boss. You’ll get loads of support from your friendly, talented and motivated colleagues

What will you do:

• Lead, mentor & enable team members to drive a high performance team
• Ensure the timeliness and accuracy of Finance data analysts work for key projects such as finance audit, finance closing, regulatory & BAU reporting
• Pioneer and develop financial analysis capabilities within the data team, and perform some hands on analyses yourself to drive insights from multiple data sources
• Collaborate with regional Finance and various business teams, plan roadmap & quarterly OKR, drive projects and propose solutions and strategies to business challenges
• Establish best practices in coding & analytics solutions 
• Contribute to driving overall team process improvements through new frameworks, processes, and execution excellence 

What we are looking for:

Must-haves

• Qualifications Bachelor in finance and/or quantitative related disciplines or equivalent. 3-7 years of experience
• Good stakeholder management ability 
• Ability to be hands on and mentor team members problem solve 
• Prioritization skills
• Experience leading and managing team performance for at least 1 year
• Strong logical reasoning and analytical mind, with can-do attitude
• Independent learner who enjoys solving challenges (Google is your best friend)
• Outstanding communication and teamwork skills, with cross-departmental and cross-team projects experience, independently promoting project execution
• SQL, Python, visualization tools such as Tableau/Qlik experience required
• English is required

Good to have:

• Experience working in FinTech or financial industries highly preferred
• Experience in working on performance management, cost allocation, financial statement analysis, building financial model with basic accounting understanding is preferred
• Experience with agile methodology
• Understanding of ELT workflow

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity