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Optimizely, a leading marketing technology platform used by 10,000+ brands, is seeking a Data Analyst to join the Strategy and Value Consulting (SVC) team in Dhaka. This is a hands-on technical role focused on building the data foundation that powers the company's value consulting work, benchmarks, value models, and published research.
You will own the complete data lifecycle: mapping and modeling disparate data sources (product usage, customer, CRM, third-party), designing analysis-ready tables, and performing complex statistical analyses. Key responsibilities include:
**Data Mapping & Modeling:** Document the data landscape across multiple sources, design and build analysis-ready tables and data models, establish consistent metric definitions, and own data quality through validation and monitoring.
**Data Engineering & Operationalization:** Build and maintain repeatable ETL pipelines from APIs, flat files, and third-party datasets. Convert one-off analyses into maintained, automated datasets and optimize query performance.
**Analysis:** Perform segmentation, cohort analysis, time-series analysis, significance testing, correlation, and regression on large datasets. Produce the quantitative foundation for industry benchmarks and white papers.
**Dashboards & Reporting:** Create and maintain internal dashboards for customer benchmarks and presales reporting. Enable stakeholders to self-serve data rather than repeatedly requesting the same cuts.
**Collaboration:** Partner with Marketing, Product, Engineering, and Revenue Operations to identify data requirements, ensure accuracy, and support enterprise customer briefs with tailored analysis.
This role is embedded within a revenue-facing function with direct exposure to enterprise value discussions and end-to-end ownership of analytical infrastructure.
**Requirements:**
- 3+ years hands-on experience as Data Analyst, Analytics Engineer, or Data Engineer
- Advanced SQL (window functions, CTEs, complex joins, query optimization)
- Demonstrated experience modeling raw data into analysis-ready tables
- Experience integrating data from multiple disparate sources, including APIs and semi-structured formats (JSON)
- Proficiency in Python or R for data manipulation and statistical analysis
- Hands-on experience with cloud data warehouse (Snowflake, BigQuery, or Redshift)
- Strong working knowledge of Power BI, Tableau, or Looker
- Solid grounding in statistics (significance testing, confidence intervals)
- Clear written communication for documentation and explaining methodology
- Strong analytical and problem-solving skills with attention to detail
- Bachelor of Science, Bachelor of Arts, or equivalent work experience
- Preferred: Background in Computer Science, Data Science, Statistics, Engineering, Economics, or Business Analytics
**Preferred Experience:**
- Transformation or orchestration tooling (dbt, Airflow)
- Go-to-market and product data models (Salesforce, product telemetry, billing data)
- ROI or value-based modeling frameworks
- AI tools applied to data work (query generation, code assistance, data profiling)
- SaaS, MarTech, or consulting environments
