587 Competitive Intelligence jobs in Indonesia
Competitive Intelligence
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Department Business Intelligence and Data Analytics
LevelExperienced (Individual Contributor)
LocationIndonesia - Jakarta
The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real 'intelligence' in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.
Job Description:
- Monitor and track competitor promotions, campaigns, and pricing activities across both online and offline channels.
- Analyze the frequency and mechanics of competitor promotional offers to identify trends and shifts in market behavior.
- Evaluate competitors pricing strategies and positioning, identifying areas where we are under- or over-priced.
- Develop and maintain reports and dashboards that summarize key competitor movements and market dynamics.
- Contribute to the development of competitive intelligence frameworks and benchmarking methodologies.
- Collaborate with internal stakeholders to align findings to improve our own promotional effectiveness and price competitiveness.
- Stay updated on market trends and competitor innovations.
Requirements:
- Bachelor's degree in Business, Marketing, Economics, Data Analytics or related field.
- Minimum 2 years of experience in roles involving promotion and pricing analysis, campaign tracking, or related commercial functions.
- Proven ability to analyze complex data sets and translate findings into clear, actionable insights.
- Curious, detail-oriented, and proactive in identifying emerging trends, patterns, and competitive movements.
- Proficiency in Google Workspace & financial modeling.
- Excellent organizational & communication skills, both written and verbal.
- Fluent in English.
Business Intelligence Analyst
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About the role
As a BI Analyst, you will transform raw data into meaningful insights that guide strategic and operational decisions. You will own core business metrics, build scalable BI assets, and collaborate with stakeholders across retail operations, data engineering, and leadership to deliver trusted, actionable insights.
This role focuses on leveraging a modern Google Cloud data platform (BigQuery, Dataform, Composer) and BI tools such as Tableau and MicroStrategy to create robust, scalable reporting
solutions.
Key responsibilities
● Partner & Scope: Collaborate with business teams to translate questions into clear analytical requirements, KPIs, and dashboards. Maintain and prioritize a roadmap of BI deliverables.
● Data Modeling & Semantic Layer: Design and maintain curated data marts in BigQuery; work with data engineers to create reusable data models and a consistent semantic layer for reporting.
● Dashboards & Reporting: Build, iterate, and maintain interactive dashboards in Tableau and MicroStrategy, with a strong focus on usability, performance, and adoption.
● Analysis & Insights: Conduct descriptive and diagnostic analyses (cohorts, trends, funnels) and provide concise, actionable recommendations to stakeholders.
● Data Quality & Governance: Define and document KPIs, implement QA checks, and ensure proper lineage and access controls for data assets.
● Platform Monitoring: Partner with data engineers to monitor data pipeline health and dashboard data freshness SLAs; set up alerts for anomalies or failures.
● Enablement & Training: Document dashboards, create data dictionaries, and host training/office hours to empower self-service analytics across teams.
● Continuous Improvement: Identify opportunities to improve reporting processes, automate manual workflows, and enhance data reliability.
Requirements
● Experience: 2+ years in BI, analytics, or data roles, preferably in a retail or data-rich environment.
● Technical Skills:
○ Advanced SQL skills; hands-on experience with BigQuery or a similar cloud data warehouse (Snowflake/Redshift).
○ Proven experience building BI dashboards in Tableau, MicroStrategy, or other modern BI tools.
○ Solid understanding of dimensional modeling (star/snowflake), metric definitions, and performance tuning.
● Governance & Quality: Knowledge of data quality processes, governance frameworks, and access management.
● Communication & Storytelling: Ability to synthesize and present findings to both technical and non-technical audiences.
Nice to Have:
○ Python/R for analysis, automation, or data validation.
○ Familiarity with dbt/Dataform, Fivetran (or similar ELT tools), and Git/CI for BI content version control.
○ Basic statistics and experimentation design (A/B testing).
Business Intelligence Analyst
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Xendit
provides payment infrastructure across Southeast Asia, with a focus on Indonesia, the Philippines and Malaysia. We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially. We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind — to make payments across and within SEA simple, secure and easy for everyone. We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly. We've been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and
backed by global top-10 VCs
. We're proud to be featured on among the fastest growing companies by
Y-Combinator
.
About the Job
Xendit group consists of multiple, diversified business lines and entities across SouthEast Asia which cover a variety of business models and product offerings from online and offline payments to lending to consumers and businesses to e-wallets and banking as a service. Strong risk management and governance is imperative for the safety of the company as well as all our stakeholders, and visibility to correct, accurate and timely metrics is essential for effective risk management.
We are looking for an experienced analyst to help us build our suite of reporting to track and monitor - key risk indicators across the portfolio, key performance indicators of the Risk function, Risk operations metrics and efficiency, product, country and channel risk, etc. You will play a critical role in building our risk fundamentals by identifying the right metrics, finding the right data and ensuring timely visibility to relevant stakeholders so that Xendit can identify and mitigate risks effectively.
There are three key responsibilities for this role:
- Build the golden source:
Identify the correct data source for various metrics and bring together the data in one place to develop the authoritative source for key metrics. - Comprehensive reporting suite:
Build reporting covering key areas of risk management including portfolio, country, channel and internal team level reporting. - Insights and analysis:
Provide support to answer ad-hoc questions or deep dive analysis on the insights from the reports.
The role will require extensive coordination with multiple teams across Xendit and you will be expected to become the most authoritative source for data and metrics related to risk. You will work directly with the Head of Risk and be a trusted advisor on the performance of the Risk function at Xendit.
This is a high visibility role which will require strong communication, a good grasp of risk fundamentals, an ability to adapt and be creative, and a lot of patience in dealing with multiple stakeholders. You will be a key member of the Risk team with critical responsibilities, working in a fast-paced environment, and you will see tangible results of your efforts.
Minimum Qualifications
- 5+ years of experience in analytics, business intelligence or data analysis
- Strong knowledge and demonstrated experience with data querying and reporting tools
- Solid stakeholder management skills and ability to influence others
- Excellent communication and the ability to craft the story from the data
Preferred Qualifications
- Degree in a quantitative field such as statistics, economics, engineering or mathematics
- Experience with risk related reporting at banks or fintechs, particularly related to payments
Responsibilities
- Work with the Head of Risk and other stakeholders to identify and define the metrics for reporting
- Find the data to report on the metrics and build a repository of accurate and dependable data and metrics
- Build and publish the suite of reports and dashboards covering various aspects of risk
- Support ad-hoc analysis and reporting needs
- Present reports and metrics at various forums
- Do whatever it takes to make Xendit successful
Business Intelligence Analyst
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As a Business Intelligence -People Analytics at Blibli, you will play a key role in transforming HR data into strategic insights that drive workforce effectiveness and organizational performance. You will be responsible for developing interactive dashboards, conducting predictive modeling, and building automated data pipelines to support data-driven decision-making across HR and business units. Collaborating closely with HRBPs and senior leaders, you will translate complex analytics into actionable strategies that enhance employee engagement, optimize HR processes, and enable proactive talent management. This role combines technical expertise in data analysis and visualization with strong business acumen and stakeholder communication.
Key Responsibilities:
Reporting & Dashboardin
- Design and maintain interactive HR dashboards using tools like Power BI, Tableau, or Looker Studio.
- Deliver regular and ad-hoc reports to HRBPs and leadership for informed decision-making
- Ensure data accuracy through validation and quality checks.
Advanced Analytics & Predictive Modeling
- Build predictive models to forecast HR trends (e.g., attrition, absenteeism).
- Develop prescriptive analytics to guide strategic HR actions.
- Perform exploratory data analysis and apply statistical/machine learning techniques.
Data Management & Automation
- Create automated data pipelines from HRIS and other sources for efficient data processing.
- Document workflows to support scalability, knowledge transfer, and team continuity.
Stakeholder Collaboration
- Partner with HR and business teams to understand data needs and deliver actionable insights.
Communicate complex data clearly to both technical and non-technical audiences.
Bachelor's degree in Statistics, Mathematics, Computer Science, Information Systems, Industrial Engineering, Quantitative Psychology, or a related field is required.
- 1–3 years of experience in data analytics, business intelligence, or data science, with a preference for experience in HR analytics.
- Proficiency in SQL and familiarity with one or more business intelligence tools (e.g., Power BI, Tableau, Looker) is essential.
- Hands-on experience with Python or R for data analysis and machine learning will be considered a major asset.
- A solid understanding of predictive algorithms, including logistic regression, decision trees, and random forests, is necessary for success in this role.
- Strong skills in data visualization, insight generation, and data storytelling are critical, helping to bridge the gap between data analysis and business strategy.
Familiarity with HR data structures and key HR metrics (e.g., headcount, turnover, absenteeism, engagement) will significantly enhance your effectiveness.
Increased adoption and usage of HR dashboards among stakeholders, reflecting the value of analytics.
- Successful implementation and utilization of predictive models that enhance strategic HR decision-making.
- A measurable reduction in manual reporting time through automation and the development of self-service analytics capabilities.
By joining Blibli, you will become a part of a dedicated team that values innovation, collaboration, and continuous improvement. We encourage individuals from diverse backgrounds to apply, as we believe that a varied workforce enhances creativity and drives better business outcomes.
Business Intelligence Analyst
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Role Purpose:
To support business growth and operational efficiency by developing and maintaining business intelligence solutions that transform data into actionable insights. This role involves collaborating with cross-functional teams to define KPIs, design reports and dashboards, build and optimize data pipelines, and ensure data quality and consistency. Through advanced analytics and a deep understanding of business needs, the Business Intelligence Analyst will empowers stakeholders with timely, accurate, and meaningful information to drive informed decision-making.
Job Responsibility:
- Develop a solid understanding of the business, the contribution of each department, and the metrics that drive performance
- Work jointly with department heads and analysts to define KPIs and reports for company-wide performance measurement
- Communicating findings and recommendations to various teams and stakeholders, often working closely with business users to understand their needs and translate them into data-driven solutions
- Create and maintain data pipelines, database structures, make sure that data is stored efficiently, and write and test database code, including SQL (Structured Query Language) queries, python, procedures, and functions
- Implement reports and dashboards using BI / reporting software
- Perform ad-hoc analyses to answer business questions and seek data-based insights for business operations improvement
- Maintain a corporate repository of metric definitions, ensuring clarity and consistency
- Monitor data quality and resolve any issues in collaboration with data owners
- Proactive Initiative for creating data product
- Implementing basic to moderate advanced analytics modeling to uncover patterns or discover actionable insights
Qualifications
- Min 2 to 5 years experience in a similar role (business analyst, data analyst, reporting analyst, or quantitative analyst)
- Strong understanding of databases and SQL, NoSQL, Structure and Non-Structured Data processing
- Proficiency with data pipeline tools such as dbt and airflow
- Proficiency with reporting software like Tableau, Metabase
- Expertise in using Jupyter Notebooks for data exploration, analysis, and model development
- Proficiency in programming languages like Python or R for data manipulation and statistical analysis
- Ideally, Bachelor's Degree in Computer Science, Statistic, Engineering, Math, Physics, Finance, Economics or a related field
- Excellent communication skills, with the ability to listen and articulate your ideas clearly
- Analytical, diligent, and rigorous in your approach to problems
- Curiosity about data and a passion for finding answers hidden in data sets
- Bonus points for experience in consulting, operations, statistics, predictive analytics, or SaaS
- A good understanding of business principles and industry knowledge is important for relating data insights to business strategy especially, a business acumen on b2b commercial transaction
Business Intelligence Analyst
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Esco Lifesciences Group is a world-leading manufacturer of laboratory, pharmaceutical equipment, bioprocess tools and IVF medical devices, delivering sustainable workflow solutions to advance global health. Since 1978, the Singapore-based company is committed to excellence, ensuring forward-thinking technology, responsive support, and reliability, making Esco a trusted partner for the life science and medical markets in more than 150 countries.
Responsibilities:
· Gather business requirements from internal user or process owner.
· Design & Develop solutions based on requirements.
· Maintain a high standard of delivery quality.
· Innovate and look for new solutions/components.
· Assist in data mining, data cleansing and data extraction.
· Ensure data integrity.
· Manage companywide management reporting requirement and deliver reports timely to the management team and business units.
· Documentation of request for reports, SOP and business requirements.
· Produce reports using the BI tools (
Power BI
).
Qualifications:
· Bachelor's degree in Computer Science, Engineering, Mathematics or Information Systems.
· Minimum of 3 (three) years of relevant experience.
· Knowledge of
Power BI
is a must. Experience with Navision is advantage.
· Knowledge of ETL tools (preferable SSIS).
· Knowledge of
Python
is a must.
· Fluent in Excel
· Fluent in SQL
· Fluet in DAX and Power Query
· Fluent in statistics, datasets, and scripting.
· Fluent in written and spoken English.
· Familiar with version control and relational databases.
· Working knowledge of business process design, conceptualization skills is essential.
· Excellent verbal and communication skills and able to translate complex technical issues into plain English, easily digestible for users and stakeholders.
· Good analytical skills and ability to investigate the source of a problem across several different systems if required.
· Comfortable working in a fast-paced, customer-focused organization, undergoing change. Flexible and able to adapt to new situations as the business demands.
· Willing to be placed in BSD/Bintan
Business Intelligence Analyst
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Will help us turn data into simple reports and insights to help our teams make better decisions.
What You Should Have
- Good at reading basic data trends and doing simple analysis.
- Basic understanding of SQL.
- Experienced in using spreadsheets like Excel or Google Sheets.
- Understanding of basic KPIs.
- Familiarity with basic statistics.
- Good at working with a team and taking feedback.
- Keen to learn and grow in a data role.
What You'll Contribute On
- Basic data analysis to find simple trends.
- Write basic SQL queries to get data from our databases.
- Create charts and tables using spreadsheets to show your findings.
- Maintain dashboards and track important numbers.
- Point out any issues found in data.
- Document reports so everyone can understand.
- Learn new things about our business and data every day.
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Business Intelligence Analyst
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Job Description
- Interpreting data, analyzing results using query, data statistical techniques.
- Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools.
- Develop analytical reports and represent large, complex sets of data through visual representation.
- Present information in a way that drives fact based decision making.
- Propose and define new business process improvement opportunities based on the data to drive business impact.
- Work with management to prioritize business and information needs.
Qualifications
- Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field.
- Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable).
- Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these.
- Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment.
- Excellent written and verbal communication skills.
- Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus
- Ability to work well and deliver under pressure
Business Intelligence Analyst
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Job Description
( OPEN HIRING )
We are looking for passionate individuals ready to take the next step in their career journey. If you thrive in a dynamic environment, value collaboration, and are eager to deliver excellence through technology, we'd love to hear from you.
Available Positions :
1. Business Intelligence Analyst & Developer
Project Manager
Quality Assurance Engineer
WFO
Jakarta
Full-Time
Key Responsibilities :
- Translate business requirements into effective data solutions
- Explore data to spot trends & patterns
- Perform data exploration to uncover patterns and trends
- Build robust SQL queries to support business needs
- Create clear and impactful data viz
- Document technical requirements
- Support SIT & UAT testing with key users
Qualifications :
- 2+ years in BI, data analysis, or reporting
- Strong SQL & database skills (Snowflake, PostgreSQL, etc.)
- Excel & Google Sheets expert (pivot, formulas, viz)
- Proficient with BI tools (MicroStrategy is a plus)
- Sharp analytical & problem-solving mindset
- Strong communicator across all levels
- Detail-driven & proactive multitasker
The application timeline is flexible, early submissions are strongly encouraged.
For inquiries, reach us at IG
Business Intelligence Analyst
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At APP Group, our innovation drives opportunity, making us your gateway to a career that champions inclusivity, growth and sustainable future.
We are currently looking for a Business Analyst – Business Intelligence & Data Science,
a
highly analytical and business-savvy individual to join our team. The ideal candidate will possess strong business acumen and a robust foundation in data science, with hands-on experience in Python and MySQL.
Why Join Us?
- Work with international teams and gain valuable experience in a diverse and dynamic global finance environment.
- Be part of a leading company in the paper production industry, known for its commitment to sustainability and innovation.
- Engage in complex financial analysis and reporting that supports strategic decision-making and drives business success.
What You Will Experience:
- Analyze complex datasets to uncover insights that drive strategic decisions.
- Collaborate with cross-functional teams to translate business needs into data-driven solutions.
- Develop and maintain data pipelines using Python and MySQL.
- Create dashboards and reports to monitor performance and identify trends.
- Support forecasting, modeling, and optimization initiatives
What is Required:
- Proven experience in data analysis and business intelligence.
- Proficiency in Python for data manipulation, analysis, and automation.
- Strong SQL skills, particularly with MySQL databases.
- Ability to interpret data in a business context and communicate findings effectively.
- Detail-oriented with excellent problem-solving skills.
Submit your application and start a better tomorrow, today