Data Analyst 5 - Aditi Consulting
Mountain View, CA 94043
About the Job
Summary:
The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.
Job Responsibilities:
Skills:
Top skills:
Education/Experience:
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.
Job Responsibilities:
- Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries.
- Establishes standardized methods of recording, tracking and reporting on activity.
- Design, implement, automate and maintain large scale enterprise data ETL processes.
- Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
- Test programs or databases, correct errors and make necessary modifications.
- Assesses the need for process improvements based on activity trends and makes recommendations for improvements.
- Conducts research on emerging products, services, approaches, and techniques in the area of data analysis
- Ad hoc analyses and tasks to support personalization initiatives and product launches
- Collaborate with Category/Product Manager(s) in making product and business decisions based on data insights and A/B testing experiment results
- Manage A/B Testing monitoring and analyses and execute strategy
- Analyze the impact of proposed and actual product changes Assist PM's in delivering product enhancements as defined by the Product Manager’s Roadmap
- Develop, manage and maintain backend product data pipelines
- Own and execute ad hoc and long-term strategic projects
Skills:
- Strong interpersonal and consultative skills to translate and understand reporting requirements.
- Ability to work as part of a team, as well as work independently or with minimal direction.
- Excellent written, presentation, and verbal communication skills.
- Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc.
- Strong PC skills including knowledge of Microsoft SharePoint.
Top skills:
- SQL
- Problem Solving Using Data Analysis
- Communication
Education/Experience:
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
- 10+ years of experience required.
- Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
Source : Aditi Consulting
