What you’ll do:
- Effectively uses standard statistical tools, methods and techniques to accurately compile and analyze data.
- Participates in hypothesis generation for key drivers of business performance and demonstrates ability to develop hypotheses based on data and business knowledge.
- Understands appropriate visualizations for different types of data and reporting.
- Building effective analytical solutions in various BI tools.
- Researches, assesses and recommends operational and/or technical solutions to analytic processes.
- Identifies opportunities and recommends actions that provide value and drive improvement for the business.
- Ability to distill complex analyses into clear, concise key themes and findings.
- Ensures consistent data quality across all dashboards, analyses, and reports being produced.
- Maintains strong attention-to-detail, implementing checks and following best practices to ensure data accuracy and reliability.
- Ability to effectively use Google Sheets, Excel, Power Query, and Power BI, for data manipulation, analysis, and visualization for informed decision-making.
- Effectively manages time by prioritizing the most critical activities, ensuring that high-impact tasks are completed efficiently.
- Demonstrates adaptability by changing ideas and perceptions based on new information and experiences; shows willingness to adapt and grow in response to feedback and challenges.
- Identifies operational problems and modifies processes, services, tools and techniques.
- Monitor key performance indicators (KPIs) and metrics to assess sales training effectiveness.
- Ensure the accuracy and integrity of sales training data by implementing data governance best practices.
- Establishes relationships with the key business partners.
- Support ad-hoc analytical requests and projects as needed.
What you’ll need:
- Bachelor’s degree in business Analytics, Data Science, Engineering, Statistics, Economics, or a related field.
- Minimum 3-5 years of experience in Sales Analytics, Business Intelligence, or a related analytical role.
- Experience with data visualization tools such as Power BI, Tableau or similar platforms.
- Proficiency in data analytics tools: SQL, DAX, Power Query(M).
- Knowledge of R, Python, Alteryx, SOQL and SAQL, etc. is a plus.
- Excellent problem-solving skills, with the ability to translate complex data into actionable insights.
- Knowledge of Sales processes, Customer 360, CRM systems (e.g., Salesforce), and sales performance metrics.
- Strong communication and presentation skills, with the ability to convey data findings to both technical and non-technical audiences.
- Detail-oriented with a commitment to data accuracy and quality.
- Experience with Power BI, Power Query, and Power Automate is preferred.
- Experience with machine learning and advanced analytics techniques is a plus.
- Knowledge of data warehousing and ETL processes.
- Knowledge of data Integration Tools like MS Fabric, MS Power Query, Azure Data Factory, etc. is a plus.
- Familiarity with cloud-based data platforms such as Azure Synapse Analytics, Azure Analysis Services and Microsoft Fabric Microsoft Automate, Azure Data Lake Storage, etc.