Sales Data Analytics Engineer

Business Unit:Global Distribution Operations

Reporting To:Data Science and Engineering Manager

Shift:EMEA/UK (1:30 pm – 10:30 pm IST) (India)

About Russell Investments, Mumbai: 

Russell Investments is a leading outsourced financial partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 88-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm has over $1 trillion in assets under advisement (as of December 31, 2023) and $302.7 billion in assets under management (as of March 31, 2024). Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai, and Mumbai.

Joining the Mumbai office is an incredible opportunity to work closely with global stakeholders to support the technology and infrastructure that drives the investment and trading processes of a globally recognized asset management firm. Be part of the team based out of Goregaon (East) and contribute to the foundation and culture of the firm’s growing operations in India. The Mumbai office operates with varying shifts to accommodate time zones around the world.

For more information, please visit https://www.russellinvestments.com.

Job Description:

The Data Analytics Engineer will be responsible for designing, building, and maintaining analytics solutions that turn data into knowledge. In this role, you will use a variety of databases and data tools, follow the latest industry practices, and work on complex data analytics projects. You will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. Your work will empower our business decisions and strategies with actionable data insights.

Years of Experience

• 3+ years work in Data Engineering and Data Science work
• 5+ years work experience in business analytics and reporting
• 5+ years work experience with and strong knowledge of Excel, SQL and relational databases is required

Qualifications

• Bachelor’s degree required, preferably in Computer Science, Data Science, Analytics, or a related Information Technology/Engineering discipline

Responsibilities

• Data Infrastructure:
  • Design and construct robust, scalable data engineering solutions for collecting, integrating, analyzing, and presenting large datasets.
  • Implement and maintain database solutions to ensure strong functionality and optimization.
• Data Analysis and Modeling:
  • Develop analytical tools and programs to improve data analysis efficiency and quality.
  • Build predictive models and machine-learning algorithms, as appropriate, to support data analysis needs.
• Data Quality and Governance:
  • Recommend ways to improve data reliability, efficiency, and quality.
  • Collaborate with data governance teams to ensure the protection of sensitive data and alignment with compliance regulations.
• Collaboration and Reporting:
  • Work with business stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Candidate Requirements

• Proficiency in programming languages such as Python, Java, Scala, or similar for data processing and scripting.
• Strong experience with data warehouse technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake) and ETL tools (e.g., Apache Nifi, Talend).
• Database management skills, including SQL proficiency.
• Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
• Understanding of data governance and compliance best practices.
• Strong analytic skills related to working with unstructured datasets.
• Experience with Data Platforms (e.g., Snowflake)
• Experience with MDM Systems

Core Values

• Strong interpersonal, oral, and written communication and collaboration skills with all levels of management
• Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines,
• Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.
• Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.
• Exemplifies our customer-focused, action-oriented, results-driven culture.
• Forward-looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.
• Ability to act with discretion and maintain complete confidentiality.
• Dedicated to the firm’s values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.