Role: Data Analyst ( Power BI / Tableau with Python)
Job type- Contract Location: RTP, NC (Remote) Below is detailed JD:
- Perform root-cause analysis and data discovery to surface what matters most.
- Develop performance metrics/KPI's, reports and dashboards/visualizations that highlight relevant trends, patterns, and areas of importance.
- Derive a data story or narrative behind the numbers and interpret trends/patterns.
- Help the team in meeting ad-hoc reporting requests.
- Use data, experiments, and statistical inference to measure UX improvements.
- Experience working with multiple cross-functional teams to deliver results.
- Lead and mentor junior data analysts, fostering a culture of continuous learning and improvement.
- Collaborate with senior leadership to identify and prioritize data-driven opportunities and initiatives.
- Ensure data governance and data quality standards are maintained across all projects.
- Develop and implement advanced analytical models to support strategic decision-making.
- Manage and optimize data infrastructure and workflows to enhance efficiency and scalability.
Minimum Qualifications: - Academic background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, Physics, or a relevant degree.
- Proficiency with 1+ programming languages (e.g., R or Python) in addition to SQL.
- Experience in cleaning, analyzing, and visualizing both structured and unstructured data.
- Proficient in machine learning methods.
- Broad knowledge of applied statistics and causal inference.
- Deep knowledge of web analytics.
- At least 5-7 years of relevant industry experience (increased from 2-3 years to reflect seniority).
- Intermediate to advanced Tableau/PowerBI experience.
- Proven track record of leading data-driven projects and delivering actionable insights.
- Strong project management skills, with the ability to manage multiple projects and deadlines simultaneously.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience in data governance and ensuring data quality standards are maintained.
- Ability to work autonomously and proactively, with a strategic mindset and a focus on continuous improvement.
Preferred Qualifications: • Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
• Familiarity with big data technologies such as Hadoop, Spark, or similar.
• Advanced knowledge of data visualization best practices.
• Certification in data analytics or related fields.
• Experience in a leadership or managerial role within a data team