Data Analyst
(Data Analyst Corporate Technology Data Engineering & Analytics)-(Full-Time, Hyderabad)
The Opportunity
Join our dynamic team as a Data Analyst Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our Data strategy. This role is crucial in driving digital transformation and operational efficiency across Investment Management. As part of this role, you will lead to extracting value from data by facilitating the creation of high-quality data solutions that drive decision-making and operational efficiency. Youll use your skills to provide subject matter expertise and complete in-depth data analysis, which contributes to the strategic efforts of the team.
Analyze data related to Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing to generate actionable insights.
Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.
Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation.
Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards.
Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals.
Manage and oversee investment data, ensuring its accuracy, consistency, and completeness.
The Minimum Qualifications
Education: Bachelors or Master s degree in Finance, Computer Science, Information Systems or related field.
Experience:
7-9 years of experience as a Data Analyst or similar role supporting data analytics projects.
5+ years of Mastery in SQL.
5+ years of experience in financial services, insurance, or related industry.
Experience with data manipulation using Python.
Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.
Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons.
Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses.
Experience with BI tools like Power BI, MicroStrategy, Tableau.
Excellent communication, problem-solving, and stakeholder management skills.
Experience in Agile/Scrum and working with cross-functional delivery teams.
Proficiency in financial reporting tools (e.g., Power BI, Tableau).
The Ideal Qualifications
Technical Skills:
Familiarity with regulatory requirements and compliance standards in the investment management industry.
Ability to lead cross-functional teams and manage complex projects.
Hands-on experience with IBORs such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.
Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
Experience with cloud data platforms like Snowflake and Databricks.
Background in data governance, metadata management, and data lineage frameworks.
Soft Skills:
Exceptional communication and interpersonal skills.
Ability to influence and motivate teams without direct authority.
Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.
Regular meetings with the Corporate Technology leadership team
Focused one-on-one meetings with your manager
Access to mentorship opportunities
Access to learning content on Degreed and other informational platforms
Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
Keyskills: python DWH Data Visualization etl sql
Best Regards, Zeba Kulsum | IT Recruiter +91 7207950177 l zebakulsum@technogenindia.com www.technogenindia.com | Follow us on LinkedIn