Negotiable
Undetermined
Remote
Remote
Summary: The Data Reporting and Analytics Consultant III role involves designing, developing, and delivering data-driven reporting and analytics solutions with a focus on advanced programming and data transformation. The position requires collaboration with business stakeholders to create scalable reporting systems that support decision-making. The consultant will also mentor junior team members and ensure data accuracy and integrity across reporting systems.
Key Responsibilities:
- Design, develop, and maintain automated reports, dashboards, and data pipelines
- Write efficient and scalable code for data extraction, transformation, and reporting
- Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions
- Analyze large datasets to identify trends, insights, and anomalies
- Ensure data accuracy, integrity, and consistency across reporting systems
- Optimize performance of queries, scripts, and reporting tools
- Support and enhance existing reporting frameworks and analytics solutions
- Mentor junior team members and provide technical guidance
- Document processes, code, and data definitions
Key Skills:
- Bachelor’s degree in Computer Science, Data Analytics, Statistics, or related field
- 6–10+ years of experience in data reporting, analytics, or programming roles
- Strong proficiency in SQL and at least one programming language (Python, R, or similar)
- Experience with reporting and visualization tools (e.g., Tableau, Power BI)
- Strong understanding of data modeling, ETL processes, and data warehousing
- Experience working with large and complex datasets
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Data Reporting and Analytics Consultant III (Programming)
Job Summary
We are seeking an experienced Data Reporting and Analytics Consultant III to design, develop, and deliver data-driven reporting and analytics solutions. This role focuses on advanced programming, data transformation, and building scalable reporting systems to support business decision-making.
Key Responsibilities
- Design, develop, and maintain automated reports, dashboards, and data pipelines
- Write efficient and scalable code for data extraction, transformation, and reporting
- Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions
- Analyze large datasets to identify trends, insights, and anomalies
- Ensure data accuracy, integrity, and consistency across reporting systems
- Optimize performance of queries, scripts, and reporting tools
- Support and enhance existing reporting frameworks and analytics solutions
- Mentor junior team members and provide technical guidance
- Document processes, code, and data definitions
Required Qualifications
- Bachelor’s degree in Computer Science, Data Analytics, Statistics, or related field
- 6–10+ years of experience in data reporting, analytics, or programming roles
- Strong proficiency in SQL and at least one programming language (Python, R, or similar)
- Experience with reporting and visualization tools (e.g., Tableau, Power BI)
- Strong understanding of data modeling, ETL processes, and data warehousing
- Experience working with large and complex datasets
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
- Familiarity with big data tools (e.g., Spark, Hadoop)
- Knowledge of statistical analysis and predictive modeling
- Experience in a specific domain (e.g., healthcare, finance, insurance)
- Exposure to Agile methodologies
Key Skills & Competencies
- Strong analytical and problem-solving skills
- Attention to detail and data accuracy
- Effective communication and stakeholder management
- Ability to translate business requirements into technical solutions
- Time management and ability to handle multiple priorities
Success Metrics
- Accuracy and reliability of reports delivered
- Efficiency and performance of data processes
- Stakeholder satisfaction with analytics solutions
- Timely delivery of reporting and analytics projects