Job ID : 34651
Location : Houston, TX
Company Name : wipros
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $102700 - $104000 per year
No. of Positions : I have ongoing need to fill this role
Required Skills : Data analytics, Preparation, Data modeling..
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :Responsibilities:
- Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
- Identify trends and opportunities for growth through analysis of complex datasets.
- Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
- Create best-practice reports based on data mining, analysis, and visualization.
- Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
- Work directly with managers and users to gather requirements, provide status updates, and build relationships.
- Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
- Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
- Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
- Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
Qualifications:
- Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics.
- Experience within the construction industry.
- Experience with database and model design and segmentation techniques.
- Strong programming experience with frameworks, including XML, JavaScript, and ETL.
- Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS.
- Proven success in a collaborative, team-oriented environment.
Key Skills:
- Advanced knowledge of data analytics, cleaning and preparation.
- Proficiency with data modeling and data analysis tools.
- Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
- Experience with statistical and mathematical analysis.
