Senior Analyst
hace 2 semanas
**Elevate Your Impact Through Innovation and Learning**
We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific.
Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Watch this video to understand what it means to Elevate Your Impact at Evalueserve
**Important responsibilities in this role will include**:
- Implement and adhere to data quality standards, ensuring accuracy and completeness of variables for a specific financial product.
- Leverage data analytic skills to extract, compare and clean data sets from various sources for model development and reporting purposes.
- Utilize strong programming skills in SAS, SQL and Excel for data migration user acceptance testing.
- Demonstrate expertise in process description and framework, documenting control objectives, and assessing processes for efficiency and accuracy.
- Collaborate with cross-functional teams to establish and implement robust execution processes, ensuring consistency and effectiveness across products.
- Use of Jira tool and scrum meetings for process tracking and team updates.
- Conduct regular audits to assess data quality and initiate corrective measures.
- Create and maintain comprehensive documentation end-to-end processes, highlighting key data touchpoints and critical milestones.
- Communicate findings and insights effectively through advanced written and verbal English skills.
- Ensure the security and confidentiality of sensitive financial information.
**Skills we’re looking for**:
- Bachelor’s degree in a relevant field (e.g, Computer Science, Mathematics, Engineering).
- Proven experience (4+ years) in data analytics, with a track record of successful data extraction, analysis, and modeling.
- Proficiency in SAS and SQL for data manipulation, analysis, and automation.
- Ability to conduct data analysis, derive valuable insights, and support decision-making.
- Experience conducting ETL process tests and contributing to data quality initiatives.
- Excellent verbal and written English communication skills.
- While proficiency in Python is not a strict requirement, familiarity with Python programming is highly desirable.
- Prior experience in Customer Service roles, showcasing strong communication and problem-solving skills.
- Demonstrated ability to work collaboratively within cross-functional teams.
- Detail-oriented with a focus on accuracy and efficiency.
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