About Maintec Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Raleigh, NC, US
Year founded
1998
Other
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Job description
Job Title: Data/BA Analyst
Job Location: Chicago, IL, USA, 60612
Employment Type: Temporary
Estimated Duration (In Weeks): 12
Skills/Attributes: Microsoft Excel, SAP, SQL
Number of Positions: 1
Position Description:
Objectives of this role
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
• Identify opportunities for growth through analysis of complex datasets
• Evaluate organizational methods, provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate systems for efficiency, problems, and inaccuracies, and maintain protocols for handling, processing, and cleaning data
Responsibilities:
• 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 questions, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
• Experience with data visualizations - experience distilling complex data into actionable data insights using various data visualization techniques.
• 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
• Develop and maintain databases by acquiring data from primary/secondary sources, build scripts that will make the data evaluation process more flexible or scalable across datasets
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics strategies that optimize statistical efficiency and quality
• Identify, analyze, and interpret trends or patterns in complex data sets
Required skills and qualifications
• Experience with data visualizations - distilling complex data into actionable data insights using various data visualization techniques.
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills, with aptitude for learning other analytics tools, such as using KQL in Azure Log Analytics workbooks.
• Comfortable working with log data and familiar with basic network terminology.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (SAP-Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information- attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Job Location: Chicago, IL, USA, 60612
Employment Type: Temporary
Estimated Duration (In Weeks): 12
Skills/Attributes: Microsoft Excel, SAP, SQL
Number of Positions: 1
Position Description:
Objectives of this role
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
• Identify opportunities for growth through analysis of complex datasets
• Evaluate organizational methods, provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate systems for efficiency, problems, and inaccuracies, and maintain protocols for handling, processing, and cleaning data
Responsibilities:
• 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 questions, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
• Experience with data visualizations - experience distilling complex data into actionable data insights using various data visualization techniques.
• 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
• Develop and maintain databases by acquiring data from primary/secondary sources, build scripts that will make the data evaluation process more flexible or scalable across datasets
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics strategies that optimize statistical efficiency and quality
• Identify, analyze, and interpret trends or patterns in complex data sets
Required skills and qualifications
• Experience with data visualizations - distilling complex data into actionable data insights using various data visualization techniques.
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills, with aptitude for learning other analytics tools, such as using KQL in Azure Log Analytics workbooks.
• Comfortable working with log data and familiar with basic network terminology.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (SAP-Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information- attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
maintec.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.