Data Analyst 5
1 week ago
Job ID: 24-06197 Pay rater range - $90/hr. to $95/hr. on W2
Top Skills:
BI/dashboard skills, e.g. Tableau, Analytics: SQL and Python data analytics skills, Presentation
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:
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.
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.
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.
Key Notes/ Attributes
Education Requirement BS/MS in Computer Science, Statistics, Mathematics, Engineering or related field
Years of experience 5 Year
Reporting directly into NASB data analytics & insights team and working hand-in-hand with product, marketing, operations, and engineering, this role's main responsibilities include (but not limited to):
• Analyze user behavior data and service usage data to provide insights per business, product and marketing ask.
• On an ongoing basis, analyze and report on service performance; develop dashboards to measure important metrics and monitor service growth.
• Support data collection/analytics implementation for new feature launches or new marketing campaigns, e.g. work with marketing/product/engineering to identify and implement analytics and data requirements.
• Conduct complex statistical analysis to provide strategic insights for operational decisions, GTM, content/partnership strategies e.g. user segmentation and acquisition insights based on advanced cohort analysis
• Utilize data after marketing promotions to extract insights and guide planning for future campaigns/promotions
• Attend and participate in standups, brainstorm sessions, presentations as needed with teams, executives or external partners
Qualifications:
• BS/MS in Computer Science, Statistics, Mathematics, Engineering or related field.
• Proficient in data querying and manipulation in SQL. Tableau knowledge is a must.
• Experience with cleaning, analyzing and visualizing medium-sized data sets.
• Experience with R/Python-based data analytics/visualization tools or similar languages.
• Experience in TV, mobile, and web-connected app services field preferred.
• Prior experience driving growth for business units or services
• Strong analytical skills and well versed in the use of data, content, and technology to draw conclusions and put results into practice.
• Detail-oriented, with the ability to multi-task and prioritize multiple projects with competing deadlines
• Team player with the ability to collaborate effectively across all levels of organization and with outside partners
• Thrives in fast paced business environment with the ability to adapt to change
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