Business Analyst / Data Analyst

Synechron; Charlotte (NC); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation package

10 days paid annual leave

Maternity & paternity leave

Udemy for Business access

Commuter benefits

Job summary

Synechron seeks a skilled Business Analyst / Data Analyst in Charlotte, NC to transform and validate data, develop scalable data solutions, and ensure accuracy of analytics outputs. You will work with Python, PySpark, Hadoop, and Scala while collaborating with data engineers, QA, and business stakeholders.

Responsibilities include data requirements gathering, testing, data quality, and building automated test cases with pytest.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, Business Analytics, or a related field.
• Experience in a Business Analyst, Data Analyst, Data Quality Analyst, QA Analyst, or similar role.
• Strong programming experience in Python.
• Hands-on experience with PySpark for distributed data processing.
• Experience with Hadoop and related big data technologies.
• Knowledge of Scala, preferably in a data engineering or Spark environment.
• Experience writing automated tests using pytest.
• Experience with automation testing tools such as Selenium, Robot Framework, Cucumber, JUnit, TestNG.
• Understanding of software testing concepts: unit, integration, regression, end-to-end, data validation.
• Strong understanding of SQL, data structures, data transformation, and data quality concepts.
• Understanding of NoSQL concepts with data modeling and query optimization.

Responsibilities

• Gather, analyze, and document business and data requirements.
• Collaborate with stakeholders, data engineers, developers, and QA teams to deliver data-driven solutions.
• Perform data analysis, profiling, and validation across multiple sources.
• Develop and maintain data processing scripts and analytical solutions using Python and PySpark.
• Work with large datasets within the Hadoop ecosystem.
• Use Scala for data processing and application development where required.
• Create and execute unit, integration, regression, and data validation tests.
• Develop automated tests using pytest and other tools.
• Validate data pipelines, transformations, reports, and analytical outputs for accuracy.
• Identify data quality issues and coordinate with technical teams for resolution.
• Prepare functional specs, mapping documents, test plans and acceptance criteria.
• Support user acceptance testing and assist users in understanding results.
• Monitor performance and recommend improvements.
• Participate in Agile ceremonies and backlogs.
• Prepare reports, dashboards, and documentation to communicate insights.

Skills

Python

PySpark

SQL

Data analysis

Testing

Agile

Data quality

NoSQL concepts

Education

Bachelor’s degree in CS/IT/Data Analytics or related field

Tools

Hadoop

Spark

Hive

Kafka

Jira

Git

Jenkins

Postman

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a skilled Business Analyst / Data Analyst with strong experience in data processing, analytics, testing, and big data technologies. The ideal candidate will be responsible for analyzing business requirements, transforming and validating data, developing scalable data solutions, and ensuring the quality and accuracy of analytical outputs.

The candidate should have hands‑on experience with Python, PySpark, pytest, Hadoop, and Scala, along with exposure to automation testing tools..

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC/Dallas, TX is $80000-$90000/year & benefits (see below).

The Role

Responsibilities:

• Gather, analyze, and document business and data requirements.
• Collaborate with business stakeholders, data engineers, developers, and QA teams to understand business needs and deliver data-driven solutions.
• Perform data analysis, data profiling, and data validation across multiple sources.
• Develop and maintain data processing scripts and analytical solutions using Python and PySpark.
• Work with large datasets within the Hadoop ecosystem.
• Use Scala for data processing and application development where required.
• Create and execute unit, integration, regression, and data validation tests.
• Develop automated test cases using pytest and other relevant automation testing tools.
• Validate data pipelines, transformations, reports, and analytical outputs for accuracy and completeness.
• Identify data quality issues, investigate root causes, and coordinate with technical teams for resolution.
• Prepare functional specifications, data mapping documents, test plans, test cases, and user acceptance criteria.
• Support user acceptance testing and assist business users in understanding analytical results.
• Monitor application and data pipeline performance and recommend improvements.
• Participate in Agile ceremonies, sprint planning, backlog refinement, and status meetings.
• Prepare reports, dashboards, and documentation to communicate insights and project progress

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, Business Analytics, or a related field.
• Experience in a Business Analyst, Data Analyst, Data Quality Analyst, QA Analyst, or similar role.
• Strong programming experience in Python.
• Hands‑on experience with PySpark for distributed data processing.
• Experience working with Hadoop and related big data technologies.
• Knowledge of Scala, preferably in a data engineering or Spark environment.
• Experience writing automated tests using pytest.
• Experience with automation testing tools such as Selenium, Robot Framework, Cucumber, JUnit, TestNG, or equivalent.
• Understanding of software testing concepts, including:
• Unit testing
• Integration testing
• Regression testing
• End-to-end testing
• Data validation and reconciliation
• Strong understanding of SQL, data structures, data transformation, and data quality concepts.
• Understanding of NoSQL concepts, including:
• Key-value, document, column-family, or graph data models
• Schema design and data modeling
• Data partitioning and indexing
• Replication and consistency
• Query optimization
• Handling structured, semi-structured, and unstructured data
• Preferred Qualifications
• Experience with Apache Spark and Spark SQL.
• Knowledge of Hive, HDFS, Kafka, or other Hadoop ecosystem technologies.
• Experience integrating NoSQL databases with Spark or Hadoop platforms.
• Experience with ETL/ELT processes and data warehouse concepts.
• Knowledge of cloud‑based NoSQL services such as Amazon DynamoDB, Azure Cosmos DB, or Google Cloud Bigtable.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Experience with Git and version‑control practices.
• Exposure to Power BI, Tableau, or Qlik.
• Knowledge of API testing tools such as Postman or REST Assured.
• Experience with Jira, ALM, or Azure DevOps.

Preferred Qualifications

• Experience with Apache Spark and Spark SQL.
• Knowledge of Hive, HDFS, Kafka, or other Hadoop ecosystem technologies.
• Experience integrating NoSQL databases with Spark or Hadoop platforms.
• Experience with ETL/ELT processes and data warehouse concepts.
• Knowledge of cloud‑based NoSQL services such as Amazon DynamoDB, Azure Cosmos DB, or Google Cloud Bigtable.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Experience with Git and version‑control practices.
• Exposure to Power BI, Tableau, or Qlik.
• Knowledge of API testing tools such as Postman or REST Assured.
• Experience with Jira, ALM, or Azure DevOps.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier‑one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.