Join the Cambridge Technology team and grow your career. We are solving real world problems with creative innovation at some of the most recognizable corporations in the world.

From building entire infrastructures or platforms to solving complex IT challenges, we help businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

Data analyst who can turn data into information, information into insight, and insight into business decisions. He or she should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. You should be able to do advanced business analysis with the help of techniques, e.g. statistical analysis, explanatory and predictive modeling, and data mining, and should be committed to transforming data into readable, goal-driven reports for continued innovation and growth of business.

Skills Required

• 7+ years relevant experience in financial/business analysis
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders using innovative analytical insights within the Data Products Program.
• Experience in Conducting detailed data analysis on data used across business units to evaluate business processes and improve or create new processes or features.
• Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools.
• Proficiency in SQL and experience extracting data following standard Data Pipelines (ideally loading Databases using ETL approaches using SQL & no SQL data sources)
• Provide relational database expertise to construct and execute SQL queries to be used in data analysis activities
• Strong skills in Excel as well as proven experience using business intelligence reporting/visualization tools like OmniSci(Heavy.ai), Qlik, Looker, Tableau. OmniSci (Heavy.ai) and Tableau are primary need.
• Good experience on cloud platforms (AWS, Azure, or Google Cloud Platform). Experience in GCP is a big plus.
• Good relevant experience in Python, Spark, SQL, Java and JavaScript / PowerShell
• Experience in analyzing data to solve business problems and presenting impactful insights to business teams, using SQL, or other Big Data technologies, data manipulation using a procedural language.
• Deep understanding on Data Analysis, schema design and dimensional data modeling, Data lake/Data Bricks technology is a big plus
• Demonstrated record of partnering with and influencing cross-functional teams.

Preferred Qualifications

• 
  Master's degree in Information Technology, Computer Science, Data Analytics, Information Science, Operations research or a related field.

• Experience in business process improvement, Lean/Six Sigma. Analytical and quantitative skills ability to use hard data and metrics to back up assumptions and develop business cases. The right person will be highly technical and analytical, possess software design and development and/or IT and networking implementation/consulting experience.