Responsible for collecting and analyzing multilingual conversational data focusing on diplomatic terminology for AI models development. Ensuring linguistic accuracy and terminology consistency.
About the role
- Business Data Analyst leveraging data analytics to provide strategic insights for The Hartford's Sales and Distribution Team. Collaborating with cross-functional teams to translate requirements into data-driven solutions.
Responsibilities
- Analyze sales trends and other KPI's such as sales volume, premiums, lead times etc, to obtain various insights into sales strategies and promotions.
- Help sales forecast based on historical data, market trends, and seasonality to support demand planning.
- Use predictive analytics to anticipate changes in demand patterns, helping the business adapt its sales and distribution approach.
- Assistant defining data architecture and data pipeline requirements to ensure relevant data is collected and processed effectively.
- Use data to provide insights into customer retention, churn analysis and cross selling or upselling opportunities.
- Analyze large data sets to extract meaningful insights that drive business growth.
- Create and maintain data models, dashboards, and reports to visualize scheme metrics.
- Collaborate with various departments to understand their data needs and ensure accurate data collection.
- Translate business requirements into analytical solutions for IT teams.
- Train end users on reporting tools and data interpretation, enabling them to make data-driven decisions.
- Maintain data mapping documents, business matrix and/or other data design artifacts that define business data requirements and transformation rules.
- Work in an agile environment, adapting to changing requirements and collaborating with cross-functional teams.
- Create and implement end-to-end testing plans, partnering heavily with the Sales and Distribution teams to consider downstream impacts and ensure data quality throughout the testing process.
- Demonstrate a proactive approach to personal and professional development, with a commitment to learning and adapting in a dynamic business landscape.
Requirements
- Bachelor's degree in data Analytics or Computer science or related field
- 6 years or more experience as a Business Data Analyst or in a similar role
- Proficiency with data analysis tools like SQL, Python, Erwin Data Manager or similar data modelling tools
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Experience working with databases and data warehouses such as SQL Server, MySQL Oracle, or Snowflake
- Familiarity with ETL (Extract – Transform - Load) processes
- Strong analytical and problem-solving skills
- Ability to translate complex data into clear insights and recommendations
- Excellent communication skills with the ability to present data to non-technical audiences.
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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