Senior Data Analyst

 

We are seeking a Senior Data Analyst to join our Product Engineering Operations team. The ideal candidate is a strategic thinker who excels at transforming complex data into actionable insights that drive business growth, enhance product performance, and improve marketing effectiveness. They will collaborate with cross-functional teams, including Product, Engineering, Marketing, and Security, to build a data-driven approach that influences key business decisions.

Data Analysis Insights

- Analyze complex datasets from Product, Engineering, and Marketing to uncover trends, correlations, and opportunities for growth.

- Develop predictive models to anticipate product adoption, customer behavior, and operational inefficiencies.

- Provide actionable insights independently to improve product features, customer satisfaction, and marketing strategies.

Reporting, Visualization Automation

- Build and maintain real-time dashboards and automated reports using tools like Power BI, Excel, and JIRA.

- Present findings through visually compelling reports and presentations that communicate insights effectively to stakeholders.

- Automate data collection and reporting processes to minimize manual effort and enhance data accuracy.

Collaboration Communication

- Partner with Product, Engineering, Marketing, and Security teams to ensure alignment of metrics and reporting.

- Facilitate data-driven decision-making across teams, supporting strategic initiatives.

Continuous Improvement

- Work with the Operations team to identify gaps in data processes and recommend improvements to enhance efficiency and accuracy.

- Mentor junior analysts and contribute to developing data analytics best practices within the team.

- Bachelor s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, Business Analytics, or a related field.

Experience

- 5+ years of experience in data analysis, preferably in Product, Engineering, or Marketing environments.

- Proven experience with statistical modeling, predictive analytics, and building dashboards.

Technical Skills

- Advanced proficiency in Excel, Power BI, and data visualization tools.

- Experience with JIRA, Salesforce, and related systems.

- Strong knowledge of statistical models and techniques for analyzing data correlations and making predictions.

- Proficiency in SQL, Python, or R is a plus.

Analytical Skills

- Ability to quickly understand domain-specific challenges and make meaningful insights.

- Exceptional problem-solving skills and attention to detail.

Communication Skills

- Strong written and verbal communication skills for presenting complex findings to various stakeholders.

Collaboration Skills

- Ability to work effectively with cross-functional teams and mentor junior analysts.

Leadership Growth

- Proactive mindset with a desire to drive change through data.

- Ability to scale analytics practices to support broader organizational growth.