Data Analyst

Location: Remote
Type: Full-Time
We are seeking a seasoned Data Analyst / BI Specialist with a proven track record of building and maintaining business-critical dashboards and generating actionable insights from complex datasets. The ideal candidate will have significant experience working with senior management and other non-technical stakeholders to understand their needs and deliver precise, impactful data solutions. This person will be instrumental in creating and refining our RTB (Run the Business) dashboard and other data tools that support key business functions.
Responsibilities
Dashboard Development & Maintenance: Lead the development and continuous improvement of real-time and historical dashboards, using platforms like Metabase, Clevertap, and others. Ensure these dashboards are tailored to the specific needs of various stakeholders, particularly for RTB (Run the Business) use cases.
Advanced Data Exploration & Analysis: Leverage your deep experience to explore and analyze data from our ClickHouse data warehouse and other sources. Identify key trends, detect anomalies, and uncover opportunities that can drive strategic decisions.
Stakeholder Collaboration: Engage closely with non-technical stakeholders, including C-level executives, to understand their business questions and translate them into actionable data requirements. Provide expert advice on what data insights will be most valuable to them.
Insight Delivery & Data Storytelling: Present complex data in a clear and compelling way, creating high-quality reports and presentations that make the data understandable and actionable for senior management and other stakeholders.
Strategic Input: Provide strategic recommendations based on data analysis, contributing to decision-making processes at the highest levels of the organization.
Continuous Optimization: Regularly assess the effectiveness of dashboards and reports, making data-driven improvements to enhance accuracy, relevance, and usability. .
Requirements
Education: Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
Experience: 5+ years of experience in data analysis, business intelligence, or a related role, with a strong focus on consumer-facing applications with more than 150k MAU's. Proven experience in building and maintaining dashboards that are used by senior management for decision-making.
Technical Skills: Expert-level proficiency in SQL, with significant experience using ClickHouse or similar data warehouses. Advanced skills in data visualization tools (e.g., Metabase, Tableau, PowerBI) and a deep understanding of customer engagement platforms like Clevertap.
Analytical Expertise: Exceptional ability to analyze large, complex data sets, generate insights, and translate these into actionable business strategies. Experience with statistical analysis and predictive modeling is a strong plus.
Communication & Leadership: Excellent communication skills, with the ability to articulate complex data concepts to non-technical audiences. Demonstrated experience in leading discussions with senior stakeholders.
Problem-Solving & Strategy: Strong strategic thinking and problem-solving skills, with a track record of using data to drive business outcomes.
Attention to Detail: Meticulous attention to detail, ensuring high standards of accuracy and integrity in all data outputs.
Preferred Qualifications:
Extensive experience in a high-growth tech company or consumer app environment, ideally in a similar capacity.
Data Quality Management: Experience in implementing and recommending data quality checks, including setting up "expectations" or similar mechanisms using tools like Great Expectations to ensure data accuracy and reliability.
Why Join Us?
Immediate Impact: Contribute your expertise to high-priority projects and see the direct impact of your work on the business.
Professional Growth: Work in a dynamic, fast-paced environment with opportunities for career advancement.
Collaborative Culture: Join a team that values collaboration, innovation, and data-driven decision-making.

Work arrangement
Yes