
Business Analyst(Data & Dashboards)
- India
- Permanent
- Full-time
- Media outlets add a little magic to their coverage with our stats and graphics packages.
- Sportsbooks can offer better predictions and more accurate odds.
- The world's top coaches are known to use our data to make critical team decisions.
- Sports commentators can engage with fans on a deeper level, using our stories and insights.
- Requirements Gathering: Collaborate with stakeholders across various departments to understand their data needs, business challenges, and reporting requirements.
- Data Analysis: Perform in-depth data analysis to identify trends, patterns, and anomalies, providing clear and concise insights to support strategic initiatives.
- Dashboard Development: Design, develop, and maintain interactive and user-friendly dashboards using leading data visualization tools (e.g., Tableau, Power BI) to present key performance indicators (KPIs) and business metrics.
- Data Modeling & Querying: Utilize SQL to extract, transform, and load data from various sources, ensuring data accuracy and integrity for reporting and analysis.
- Reporting & Presentation: Prepare and deliver compelling reports and presentations of findings and recommendations to both technical and non-technical audiences.
- Data Quality: Work closely with IT and data teams to ensure data quality, consistency, and accessibility.
- Continuous Improvement: Proactively identify opportunities for process improvements, data efficiency, and enhanced reporting capabilities.
- Stakeholder Management: Build strong relationships with business users, understanding their evolving needs and providing ongoing support for data-related queries.
- Education: Bachelor's degree in Business, Finance, Economics, Computer Science, Information Systems, or a related quantitative field.
- Experience: Proven experience (typically 3+ years) as a Business Analyst, Data Analyst, or similar role with a strong focus on data analysis and dashboarding.
- Data Visualization Tools: Proficiency in at least one major data visualization tool (e.g., Tableau, Microsoft Power BI, Looker).
- SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis from relational databases.
- Data Analysis: Excellent analytical and problem-solving skills with the ability to interpret complex datasets and translate them into actionable business insights.
- Communication: Exceptional written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Business Acumen: Solid understanding of business processes and key performance indicators.
- Attention to Detail: Meticulous attention to detail and a commitment to data accuracy.
- Experience with statistical programming languages (e.g., Python with Pandas/NumPy) for advanced data manipulation and analysis.
- Familiarity with data warehousing concepts and cloud data platforms (e.g., Snowflake, AWS Redshift, Google BigQuery).
- Experience with advanced Excel functions (e.g., Power Query, Power Pivot).
- Certification in relevant data visualization tools.