807 Performance Analyst jobs in India

Hi All,

We are hiring QA performance Analyst for one of our MNC Client located in Bangalore location

Location:Bangalore

Work mode: Hybrid

Notice period: Immediate to 15days

Interview Mode: F2F

Job Description:

• Partners with ETL developers/Tableau developers/Architect through the development of complex ETL routines to load a dimensional star schema (and supporting layers) and develops error handling processes and testing dashboards in the Tableau environment

• Perform data analysis, build strong and effective SQL queries to validate data and KPI calculation in UAT and PROD

• Interact with customers to understand their business problems and provide best-in-class analytics support.

• Defining and documenting technical test-cases in a structured way to be easily reproduced and executed along the application lifecycle.

• The testers ensures the data being used is representing the real use cases, and ensures that data items end-to-end are representing the business information according to the source systems and further transformations implemented.

• QA Performance Analyst will support the development team to fix all detected errors

• QA Performance Analyst will support data owners in the final KPI & Dashboard/Reports testing and error fixing.

• Demonstrate strength in data modelling, ETL development, data analysis and data warehousing

• Proficient in complex SQL and Query performance tuning skills

• Ability to work on multiple tracks and status reporting

• Work with team to ensure standards and patterns are followed.

• Evaluates existing applications that could address client requirements and makes recommendations from complex projects.

• Identifies alternative uses of technologies that will enhance current or anticipated information systems and that support overall corporate and business goals that are appropriately aligned with the enterprise architecture.

• Assists in the testing and development of ETL & Tableau related Service Level Agreements.

• Communicates risks and ensures understanding of these risks.

Skill Set Required :

Technology Skills and Project Experience

- 10 years of Analytics Development and QA on Redshift, Databricks, S3 and other analytics products and integration with Data platforms and Data Testing experience in Analytical layer

- 7 years of strong Tableau & Informatica development experience

- 8 or more years of Strong SQL experience

- Minimum 7 years of working experience using Redshift or AWS and data modelling skills will be added advantage

- Experience in test automation is mandatory

- Should understand the overall system landscape, upstream and downstream systems

- Detailed working knowledge of software testing with a high SQL or data content design of unit tests, integration testing, functional and smoke testing, system test and acceptance test

- Working knowledge of ETL or ELT, data warehousing or business intelligence methodologies

- Extensive use of and fully conversant in SQL

- Finance, Opportunity, Sales and Marketing domain knowledge added advantage

- Skilled in any of the automation test tools like Selenium, DBFit etc and performance monitoring tools

- Good to have any of the scripting language knowledge. Shell, VBA, Python, Pyspark, Scala Etc

- Strong analytical skills and enjoys solving complex technical problems.

Interested people can send their resumes to

• Collect, process, and analyze performance data from various sources (e.g., video, sensors, wearable devices).
• Develop and implement data-driven strategies to improve individual and team performance.
• Create detailed reports and visualizations of performance metrics for coaches and athletes.
• Utilize specialized software for video analysis and statistical modeling.
• Identify trends, strengths, and weaknesses in performance to inform training and game strategies.
• Collaborate with coaching staff to set performance goals and monitor progress.
• Stay up-to-date with the latest advancements in sports science, analytics, and technology.
• Provide objective feedback and recommendations to support athlete development and injury prevention.
• Communicate complex analytical findings in a clear and concise manner to non-technical stakeholders.
• Contribute to the development of innovative performance analysis tools and methodologies.

• Bachelor's or Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field.
• Minimum of 4 years of experience in sports performance analysis or a similar role.
• Proficiency in sports analytics software (e.g., Hudl, Dartfish, Kinesio Coach) and statistical packages (e.g., R, Python).
• Strong understanding of biomechanics, exercise physiology, and sports training principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex data sets and translate them into actionable insights.
• Effective communication and presentation skills, with the ability to convey technical information to diverse audiences.
• Self-motivated and able to work effectively in a remote team environment.
• Passion for sports and a desire to contribute to athletic success.
• Experience with machine learning and predictive modeling in sports is a plus.

• Collect, manage, and analyze performance data from various sports disciplines using advanced tracking and video analysis software.
• Identify key performance indicators (KPIs) and develop customized metrics to assess individual and team performance.
• Prepare comprehensive performance reports and presentations for coaches, athletes, and management.
• Utilize statistical modeling and data visualization techniques to uncover trends and patterns.
• Collaborate with coaching staff to translate data insights into effective training programs and tactical adjustments.
• Provide objective feedback to athletes on their performance, highlighting strengths and areas for development.
• Research and stay abreast of the latest advancements in sports science, performance analysis, and technology.
• Assist in the scouting and recruitment process by providing objective performance evaluations of potential athletes.
• Contribute to the development of predictive models for athlete performance and injury risk.
• Maintain and manage performance databases, ensuring data integrity and security.

• Bachelor's or Master's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field.
• Proven experience in sports performance analysis, preferably within a professional or elite sports environment.
• Proficiency with sports-specific performance analysis software (e.g., Catapult, Hudl, STATS Perform).
• Strong understanding of statistical analysis, data visualization, and database management.
• Excellent analytical and problem-solving skills with a high level of attention to detail.
• Effective communication and presentation skills, with the ability to explain complex data in an understandable manner.
• Passion for sports and a commitment to continuous learning and improvement.
• Ability to work flexible hours, including evenings and weekends, to accommodate training and competition schedules.

• Collecting and analyzing performance data from various sports, including physiological, technical, and tactical metrics.
• Utilizing advanced statistical methods and software to identify trends, patterns, and key performance indicators.
• Developing comprehensive reports and visualizations to communicate findings clearly to coaches, athletes, and management.
• Providing data-driven recommendations for training programs, individual development plans, and game strategies.
• Monitoring athlete load, fatigue, and injury risk through data analysis.
• Collaborating with coaching staff to integrate performance analysis into training and competition.
• Staying current with the latest technologies and methodologies in sports performance analysis.
• Maintaining databases of athlete performance data and ensuring data integrity.
• Contributing to the development of predictive models for athlete performance.
• Presenting findings and insights in a compelling and understandable manner.

• Bachelor's or Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field.
• Minimum of 2-4 years of experience in sports performance analysis.
• Proven ability to collect, analyze, and interpret complex sports performance data.
• Proficiency with sports performance analysis software and tools (e.g., Catapult, Hudl, Sportscode).
• Strong knowledge of statistical analysis techniques and data visualization tools (e.g., R, Python, Tableau).
• Excellent communication, presentation, and interpersonal skills, crucial for remote collaboration.
• Ability to work independently, manage time effectively, and maintain high productivity in a remote setting.
• A deep understanding of athletic training principles and sports physiology.
• A passion for sports and a commitment to improving athlete performance through data.
• Experience in a remote work environment is highly valued.

• Collect and analyze sports performance data from multiple sources.
• Utilize statistical methods and analytical tools to identify performance trends.
• Develop and implement data-driven training and performance strategies.
• Create comprehensive reports and visualizations to communicate insights to coaches and athletes.
• Collaborate with coaching staff to integrate performance analysis into training programs.
• Monitor athlete progress and identify key areas for development.
• Stay updated with the latest advancements in sports science, analytics, and technology.
• Support injury prevention efforts through data analysis.
• Contribute to strategic planning for team and individual athlete development.
• Maintain confidentiality and integrity of sensitive performance data.

• Bachelor's or Master's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field.
• Proven experience as a Sports Performance Analyst or similar role.
• Proficiency in statistical software (e.g., R, SPSS, Python) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports biomechanics, physiology, and training principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret and present complex data in a clear and concise manner.
• Strong communication and interpersonal skills for effective collaboration.
• Ability to work independently and manage projects in a remote environment.
• Passion for sports and a commitment to enhancing athletic performance.
• Experience with specific sports performance tracking technologies is a plus.

• Collect, analyze, and interpret performance data from training sessions, competitions, and scouting activities using specialized software and tools.
• Develop and maintain comprehensive databases of player and team performance metrics.
• Create detailed reports and visualizations that clearly communicate key performance indicators, trends, and insights to coaches and athletes.
• Identify areas for improvement in individual athlete technique, team tactics, and overall performance strategies.
• Collaborate with coaching staff to set performance benchmarks and monitor progress towards team goals.
• Utilize video analysis software to break down game footage, identify tactical patterns, and scout opponents.
• Develop and implement effective data collection protocols to ensure accuracy and consistency.
• Stay current with advancements in sports science, performance analysis techniques, and relevant technologies.
• Assist in the design and evaluation of training programs based on performance data.
• Communicate complex data findings in an easily understandable format to non-technical stakeholders.
• Contribute to strategic decision-making regarding player development and team tactics.
• Ensure the ethical and confidential handling of all performance data.
• Assist in evaluating the effectiveness of implemented performance strategies.

• Bachelor's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field. A Master's degree is preferred.
• Proven experience in sports performance analysis, preferably within a professional or high-level amateur sports environment.
• Proficiency with performance analysis software (e.g., Hudl, Dartfish) and data visualization tools.
• Strong understanding of statistical principles and their application to sports data.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex data and translate it into actionable insights.
• Strong communication and presentation skills, with the ability to present findings clearly and concisely.
• Knowledge of various sports rules, tactics, and performance metrics.
• Familiarity with biomechanics and physiological aspects of athletic performance.
• High level of attention to detail and commitment to data integrity.
• Ability to work effectively within a team environment and adapt to demanding schedules.