- Designing analytic tables, reports using business intelligence tools and platforms.
- Developing and implementing qualitative and quantitative methods for characterizing datasets in various states of organization, cleanliness, and structure.
- Reviewing the nature and quality of data sources and evaluating their relevance, then recommending action for improvement and use of sources.
- Translating practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assisting others with drawing appropriate conclusions from the analysis of such data.
- Independently maintain and refine key analytic products that are relied upon substantially within the organization.
- Proactively generate insights based on regular evaluations of the needed marketplace.
- Answer complex ad-hoc questions that arise from internal/external stakeholders.
- Work to develop new KPI’s that can be used by the organization and the customers.
- Provide regular reports of industry trends and happenings to key stakeholders.
- Use business intelligence tools to create and distribute content for many stakeholders.
- Effectively communicating complex information to all audiences.
Bachelor’s degree in a field such as computer science, business administration, finance, or statistics is preferable.Good command of English language.Good follow up and accuracy skills. Certified BI analyst or equivalent is preferable. Very good communication skills. Solid hands-on experience in analyzing mass data, including financial and business data. Knowledge of BI data analytics or equivalent systems Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. High-level experience in methodologies and processes for managing large scale databases. Demonstrated experience in handling large data sets and relational databases. Experience with reporting packages and dashboards (Power BI, Tableau, etc..). Developing data cleansing rules for the company