Data/ Business Analyst

Job Title:
Data Analyst & Business Analyst

Location:
REMOTE

Duration:
4 Months (Extension)

Qualifications:

• Bachelor's degree in quantitative fields such as Business Administration, Information Technology, Statistics, Mathematics, or a related discipline, or equivalent work experience.
• Proven experience in a data analysis or business analysis role, preferably with experience in combined functions.

Technical Skills:

• Proficiency in Microsoft Excel (formulas, pivot tables, VLOOKUPs, etc.).
• Strong knowledge of and experience with querying databases using SQL.
• Experience with data visualization and BI tools (e.g., Tableau, Power BI).
• Familiarity with programming languages like Python or R for data manipulation and statistical analysis is a plus.
• Experience with ERP or CRM systems (e.g., SAP, Salesforce) is beneficial.

Soft Skills:

• Strong analytical and critical thinking skills with meticulous attention to detail.
• Excellent verbal and written communication and presentation skills, with the ability to translate complex data into actionable business insights.
• Effective problem-solving skills and the ability to work in a fast-paced environment with shifting priorities.
• Strong collaboration and stakeholder management skills to work effectively with cross-functional teams.

Responsibilities:

• We are seeking a detail-oriented and analytical Data Analyst and Business Analyst to join our team for a project.
• The successful candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends, solve problems, and provide actionable insights that drive strategic business decisions.
• This role requires a blend of strong technical data skills and an understanding of business operations to translate data findings into practical solutions.

Key Responsibilities:

• Data Collection and Management: Gather data from various primary and secondary sources (databases, APIs, spreadsheets, etc.) and assist in designing and maintaining databases/data systems to ensure optimal data quality and efficiency.
• Data Cleaning and Preparation: Clean, organize, and preprocess raw data to ensure accuracy, completeness, and reliability for analysis.
• Data Analysis and Interpretation: Use statistical tools and methods to analyze complex datasets, interpret trends or patterns, and perform diagnostic and predictive analytics to uncover insights.
• Business Process Analysis: Analyze current business processes, workflows, and procedures to identify inefficiencies, bottlenecks, and areas for improvement.
• Requirements Gathering: Collaborate with stakeholders and cross-functional teams to understand business needs, gather requirements, and define the scope of problems and potential solutions.
• Reporting and Visualization: Develop and maintain reports, dashboards, and data visualizations using tools like Power BI or Tableau to communicate findings clearly and effectively to non-technical stakeholders and management.
• Recommendation and Implementation Support: Based on analysis, provide data-backed recommendations for process changes or new systems and support the implementation and testing of these solutions.
• Documentation: Maintain comprehensive documentation of processes, requirements, analyses, and data-related procedures.