Strategy & Value Consultant - Data Analyst

চাকরির বিবরণ

Optimizely is looking for a Data Analyst to join the Strategy and Value Consulting (SVC) team. This role owns the data foundation behind the team's value consulting work: the source mapping, the models, the tables, and the analyses that its benchmarks, value models, and published research are all built on.

Based in Dhaka, Bangladesh, you'll be the person who makes distributed, messy data usable. You'll map source systems, model them into analysis-ready tables, and run the complex analyses that turn raw product and customer data into numbers that can be defended in front of an enterprise buyer. The three biggest parts of this job are mapping and modeling data sources, building and maintaining the datasets the team runs on, and performing the deep analyses behind benchmarks and research.

This is a hands-on technical role, not a writing one: you own the data and the analysis, while a dedicated team member owns the narrative.

What makes this role unique: embedded within a revenue-facing consulting function; direct exposure to enterprise value discussions; end-to-end ownership of the data foundation, from raw source to published insight; opportunity to build the analytical infrastructure for value selling from the ground up.

Competencies: Attentive Listening; Communicating Effectively; Interacting with People at Different Levels; Making Convincing Arguments; Setting a Strategic Vision.

দায়িত্ব

• Map and document the data landscape (product usage, customer, CRM, third-party sources) including schemas, definitions, grain, coverage, and known quality issues
• Design and build analysis-ready tables and data models the wider team can query without re-deriving logic
• Establish and maintain consistent metric definitions across dashboards, value models, and published research
• Own data quality: validation, reconciliation against source systems, and monitoring for breaks
• Build and maintain repeatable pipelines to extract, transform, and load data from APIs, flat files, and third-party datasets
• Turn one-off analyses into maintained datasets with automated refreshes, and optimize queries and models for performance
• Perform complex analyses on large datasets: segmentation, cohort and time-series analysis, significance testing, correlation, and regression
• Produce the quantitative foundation for industry benchmarks, maturity models, and industry-specific value models
• Create and maintain internal dashboards focused on customer benchmarks, performance metrics, and presales reporting
• Partner with Marketing, Product, Engineering, and Revenue Operations to get access to data and understand how it's generated
• Explain methodology, assumptions, and caveats clearly to non-technical stakeholders, and support live enterprise pursuits with analysis

যোগ্যতা

• 3+ years of hands-on experience as a Data Analyst, Analytics Engineer, or Data Engineer
• Advanced SQL - window functions, CTEs, complex joins, and query optimization against large tables
• Demonstrated experience modeling raw data into analysis-ready tables
• Experience integrating data from multiple disparate sources, including APIs and semi-structured formats such as JSON
• Proficiency in Python (or R) for data manipulation and statistical analysis
• Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Strong working knowledge of Power BI (or Tableau or Looker) for dashboard development
• Solid grounding in statistics: significance testing and confidence intervals
• Clear written communication to document methodology and explain caveats
• Bachelor of Science, Bachelor of Arts, or equivalent work experience; background in Computer Science, Data Science, Statistics, Engineering, Economics, or Business Analytics preferred
• Preferred: dbt, Airflow or similar; go-to-market and product data models (Salesforce, product telemetry, billing data); ROI/value-based modeling; AI tools applied to data work; SaaS, MarTech, or consulting exposure

সুবিধা

• Best-in-class compensation plans
• Two annual festival bonuses
• Recognition and rewards programs
• Vacation days
• Annual Work/Service Anniversary Leave
• Parental leave (both maternity and paternity)
• Health insurance
• Reproductive benefits for both parents
• Volunteering opportunities
• Free communal transport facilities inside Dhaka to and from the office
• Free catered lunch every day

দক্ষতা

• Data Modeling
• Power BI
• Python
• Snowflake
• SQL
• Statistics