About The Role
We are looking for a highly skilled Senior Data Analyst who can own our analytics stack end-to-end. This role blends technical expertise in data modelling, pipelines, and reporting with strong business acumen to convert raw data into actionable insights. You will collaborate closely with leadership, product, sales, marketing, and customer teams to drive better decisions and improve product and business performance.
Key Responsibilities
- Lead the design, development, and optimization of scalable data models using Redshift (or other cloud data warehouses).
- Build and maintain robust ETL/ELT data pipelines that ensure data quality, availability, and reliability.
- Own and enhance dashboards and analytics workflows in Power BI and other BI tools.
- Translate business problems into analytical requirements and deliver insights that drive measurable outcomes.
- Partner with cross-functional teams to define KPIs, reporting frameworks, and success metrics.
- Conduct exploratory data analysis to identify trends, patterns, revenue opportunities, and performance gaps.
- Ensure strong governance, documentation, and best practices in data operations.
- Mentor junior analysts and contribute to building a data-driven culture across the organization.
Required Skills & Experience
- 5+ years of experience in data analytics, BI, or data engineering roles.
- Hands-on expertise with Amazon Redshift, including SQL performance optimization and data modeling.
- Strong experience with Power BI DAX, visuals, dataflows, and dashboard publishing.
- Proven track record in building ETL/ELT pipelines, preferably using tools like AWS Glue, DBT, Airflow, Fivetran, or similar.
- Strong understanding of data warehousing concepts, star/snowflake schema, and metadata management.
- Proficient in advanced SQL for large-scale analytical workloads.
- Ability to convert complex business requirements into insightful dashboards and actionable intelligence.
- Experience with statistical analysis and data storytelling to executive stakeholders.
Preferred Qualifications
- Experience in SaaS or B2B enterprise tech businesses.
- Familiarity with CRM (HubSpot/Salesforce), marketing automation, product analytics tools (Mixpanel, GA4, Amplitude).
- Knowledge of Python for analytics automation and data manipulation.
- Exposure to data security, privacy standards, and compliance practices.
Who Will Succeed In This Role
- Someone who is curious, detail-oriented, and loves solving business problems with data.
- A strong communicator who can simplify complexity for non-technical stakeholders.
- Collaborative and proactive bringing ideas, not just reports.
Why Join Us
- High ownership and impact your insights directly shape product and revenue strategy.
- Opportunity to build and scale the analytics landscape in a high-growth environment.
- Cross-functional exposure to product, finance, sales, marketing, and leadership teams.
