Senior Data Analyst

Overview 10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high performance team members. Our broad expertise in product management, user experience / design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs and high growth startups. We work with clients across industries, including healthcare / life sciences, education, energy, communications / media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity and successful delivery and execution.

Role 10Pearls is seeking a Senior Data Analyst with strong expertise in Heap, Google Analytics, Mixpanel, and Amplitude to drive product and business insights. In this role, you will analyze user behavior, track key performance metrics, and deliver actionable recommendations that shape product decisions and business strategies. You will also design and maintain data visualizations and reports to support stakeholders across teams.

Responsibilities

Extract, transform, and analyze data from various sources to provide actionable insights that drive business decisions.

Collaborate closely with the data engineering team to design, implement, and optimize scalable data pipelines for efficient data processing.

Build and maintain dashboards and reports to visualize key metrics, trends, and insights for various stakeholders.

Work with large datasets to ensure data accuracy, consistency, and integrity across different systems and platforms.

Support data governance initiatives by ensuring compliance with data privacy, security, and regulatory standards in all data operations.

Requirements

Bachelor's degree in computer science, Statistics, Business Analytics, or related field

Minimum 4 years of experience in data analysis or related role

Intermediate+ proficiency in SQL (joins, subqueries, CTEs, transformations, aggregations, window functions)

Hands-on experience with BI tools (preferably Looker)

Knowledge of web event tracking concepts (Heap, Google Analytics)

Strong problem-solving and analytical skills

Excellent communication skills in English (able to explain technical insights to non-technical stakeholders)

Experience ensuring data quality and resolving inconsistencies

Comfortable working remotely with tools like Slack, Zoom, Google Workspace

Strong organizational skills, attention to detail, ability to work independently

Nice-to-Have

Experience with dbt for data modeling

Familiarity with crowdfunding platforms or fintech domain

Exposure to Python or R for advanced analytics

Knowledge of data pipeline automation tools (Airbyte, Hightouch)

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