Business Analyst (Backend/ Operations)
Salary undisclosed
Apply on
Availability Status
This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.
Original
Simplified
1. Data Collection and Management:
- Gathering data from various sources, ensuring its accuracy, and maintaining databases.
2. Data Analysis:
- Utilizing statistical methods and tools to analyze trends, patterns, and correlations within data sets.
3. Reporting:
- Creating detailed reports and dashboards to present findings to stakeholders, highlighting key metrics and performance indicators.
4. Requirement Gathering:
- Collaborating with business units to understand their needs and translate them into data-driven solutions.
5. Problem Solving:
- Identifying business challenges and recommending data-driven strategies to improve operations, efficiency, and profitability.
6. Forecasting and Modeling:
- Developing predictive models to forecast trends and outcomes, aiding strategic planning.
7. Cross-Functional Collaboration:
- Working with IT, marketing, and finance teams to ensure data alignment and support business objectives.
8. Training and Support:
- Providing guidance to teams on data tools and methodologies, fostering a data-driven culture within the organization.
- Gathering data from various sources, ensuring its accuracy, and maintaining databases.
2. Data Analysis:
- Utilizing statistical methods and tools to analyze trends, patterns, and correlations within data sets.
3. Reporting:
- Creating detailed reports and dashboards to present findings to stakeholders, highlighting key metrics and performance indicators.
4. Requirement Gathering:
- Collaborating with business units to understand their needs and translate them into data-driven solutions.
5. Problem Solving:
- Identifying business challenges and recommending data-driven strategies to improve operations, efficiency, and profitability.
6. Forecasting and Modeling:
- Developing predictive models to forecast trends and outcomes, aiding strategic planning.
7. Cross-Functional Collaboration:
- Working with IT, marketing, and finance teams to ensure data alignment and support business objectives.
8. Training and Support:
- Providing guidance to teams on data tools and methodologies, fostering a data-driven culture within the organization.
Similar Jobs
