key responsibilities

• - Work with stakeholders to understand business problems and define analytical requirements. - Analyze and interpret both functional and non-functional data requirements.

• - Explore and analyze relevant data sources to derive meaningful insights.

• - Utilize statistical methods and data visualization tools to present findings to the cross-functional team.

• - Collaborate with cross-functional teams to design and develop appropriate data solutions.

• - Employ statistical and analytical methods to identify trends, patterns, and anomalies in datasets.

• - Implement data transformation processes to cleanse, preprocess, and prepare data for analysis.

• - Work on data integration and ensure data accuracy and consistency.

• - Provide data-driven support to the cross-functional team in understanding complex business problems.

• - Collaborate with stakeholders to offer insights and recommendations based on data analysis.

• - Stay abreast of industry best practices and emerging trends in data analytics.

• - Continuous improvement of data analytics processes within the organization.

basic Qualifications

• - Bachelor’s degree or higher in Data Analytics, Business Administration, Finance, or a related field.

• - Proficiency in data analysis tools and programming languages such as SQL, Python, or R.

• - Strong analytical skills with the ability to identify and solve data-related challenges.

• - Effective communication skills to present complex data findings to technical and non-technical audiences.

• - Ability to work independently and manage multiple priorities in a fast-paced environment.

preferred Qualifications

• - Understanding of the business domain related to the project.

• - Experience in designing advanced and interactive data visualizations (e.g., Power BI, Tableau).

• - Ability to relate data insights to broader business objectives.

• - Knowledge of statistical modeling and predictive analytics is a plus.