Data Analyst/Data Slinger - SQL - Asset Management (4-12 yrs)

Data Analyst/Data Slinger - SQL, asset management - 4+ years - PAN India

An excellent opportunity for someone having atleast four years of experience. A person must have hands-on experience in SQL, and Data Management, data warehousing and Asset Management. A person must understand various data sources around asset classes, portfolio, historical performances, market trends etc.

Location: PAN India

Your Future Employer: Global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others.

Responsibilities:

- Interface with business stakeholders, understand their data and analytics needs, establish requirement in alignment with data product owners and with data engineers and align on delivery plan.

- Coordinate across data and analytics product team to help design data assets to enable analytical solution around asset management.

- Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and explore additional structured or unstructured sources to enrich data pipelines.

- Support in the design & development of target data marts (Operational or Analytical) or data assets for portfolio analytics, performance/financial reporting, financial modeling, or other analytical use cases.

- Build data product prototypes to generate product/market fit for internal users, ensuring we have the deep understanding to design centralized scalable data products and features. Prototypes may select data from snowflake and generate derived metrics to create new datasets in DEV and UAT environments.

- Establish necessary ETL ("Extract, Transform, Load") process to land data into target solutions and enable corresponding analytics views leveraging tools like Python/SQL/Snowflake.

Requirements:

- Must have : SQL, Data Management, data warehousing and Asset Management

- Good to have : Jira, Lucid charts, Snowflake

- Professional certifications in Finance, financial modeling, or investments are a plus (including CFA/FRM/CA).

- Experience in Investment Analytics with strong knowledge of investment products including fixed income, public equity, private equity, private credit, venture capital, real estate, the energy transition and more.

What is in for you:

- A stimulating working environment with equal employment opportunities.

- Growing of skills while working with industry leaders and top brands.

- A meritocratic culture with great career progression.

Profile Keywords: data analysis, data extraction, data processing, data management, Python, SQL, data visualization, asset management, portfolio management, financial portfolio, Crescendo Global.