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Data Analytics Lead - SQL/ETL (15-20 yrs)

15-20 years

Data Analytics Lead - SQL/ETL (15-20 yrs)

Recruitment Panda

posted 11hr ago

Job Role Insights

Flexible timing

Job Description

Job Description :


ThoughtFocus is seeking a visionary Data Analytics Lead to guide and inspire our data delivery team supporting a capital markets client specializing in private markets and alternative investment strategies. This role requires a blend of technical expertise, leadership acumen, and domain experience in capital markets and private markets.

As a Data Analytics Lead at ThoughtFocus, you will play a pivotal role in driving strategic initiatives, leveraging advanced analytics, and fostering a culture of innovation and excellence.

Key Responsibilities :

Team Leadership & Delivery Excellence :

- Lead a cross-functional team comprising data architects, analysts, business SMEs, and technologists to deliver high-impact data analytics solutions.

- Define and enforce best practices for efficient, scalable, and high-quality delivery.

- Inspire a culture of collaboration, accountability, and continuous improvement within the team.

Strategic Data Leadership :

- Develop and execute a data strategy aligned with client business objectives, ensuring seamless integration of analytics into decision-making processes.

- Collaborate with stakeholders to translate business needs into actionable data solutions, influencing strategic decisions.

Technical and Architectural Expertise :

- Architect and oversee data platforms, including SQL Server, Snowflake, and Power BI, ensuring optimal performance, scalability, and governance.

- Lead initiatives in Data Architecture, Data Modeling, and Data Warehouse (DWH) development, tailored to alternative investment strategies.

- Evaluate emerging technologies, such as big data and advanced analytics tools, and recommend their integration into client solutions.

- Champion data quality, integrity, and security, aligning with compliance standards in private equity and alternative investments.

Performance & Metrics :

- Define and monitor KPIs to measure team performance and project success, ensuring timely delivery and measurable impact.

- Collaborate with stakeholders to refine reporting, dashboarding, and visualization for decision support.

Governance & Compliance :

- Establish robust data governance frameworks in partnership with client stakeholders.

- Ensure adherence to regulatory requirements impacting private markets investments, including fund accounting and compliance

What's on offer :

- Competitive and above-market salary.

- Flexible hybrid work schedule with tools for both office and remote productivity.

- Hands-on exposure to cutting-edge technology and global financial markets.

- Opportunity to collaborate directly with international teams in New York and London.

Candidate Profile :

Experience :

- 15+ years of progressive experience in program or project management within the capital markets and financial services sectors.

- Demonstrated expertise in SQL Server, Snowflake, Power BI, ETL processes, and Azure Cloud Data Platforms.

- Hands-on experience with big data technologies and modern data architecture.

- Proven track record in delivering projects emphasizing data quality, integrity, and accuracy.

- Deep understanding of private markets, including areas such as private equity, private credit, CLOs, compliance, and regulations governing alternative investments.

Leadership & Collaboration :

- Exceptional problem-solving skills and decision-making abilities in high-pressure, dynamic environments.

- Experience leading multi-disciplinary teams to deliver large-scale data initiatives.

- Strong client engagement and communication skills, fostering alignment and trust with stakeholders.

Preferred Certifications :

- Relevant certifications (e.g., CFA, Snowflake Certified Architect, or Microsoft Power BI Certified).

Education :

- Bachelor's degree in computer science, IT, Finance, Economics, or a related discipline. Advanced degrees (MBA, MS in Computer Science, or related fields) preferred.


Functional Areas: Other

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