Lead - Advanced Data Analytics and Insights
Fidelity Investments · Chennai, Tamil Nadu, India
- On site
- Full-time
- $120,000 / year
- Chennai, Tamil Nadu, India
Job highlights
- Lead advanced analytics and predictive modeling initiatives.
- Translate business challenges into analytical solutions.
- Present actionable insights to senior stakeholders.
- Drive adoption of AI/ML and cloud technologies.
- Directly influence business strategy and KPIs.
About the role
Lead - Advanced Data Analytics and Insights
Be a part of the WI RM Analytics team within ARD-WI Analytics, driving advanced analytics, predictive modeling, and strategic insights to enable data-driven decision-making for the WI RM & Sales organization.
Key Responsibilities
- Design and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions.
- Ensure robust validation and performance monitoring of models.
- Oversee data extraction, transformation, and integration from complex warehousing environments.
- Collaborate with senior stakeholders to translate business challenges into analytical solutions.
- Present insights and recommendations in a clear, actionable manner.
- Drive adoption of emerging technologies (AI/ML, cloud platforms) to enhance analytics capabilities.
- Work closely with business partners in WI RM & Sales organization to understand project requirements and implement them using sound data knowledge and experience.
- Extract data from appropriate sources in a complex warehousing environment, requiring in-depth knowledge of data elements.
- Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify insights and trends.
- Handle multiple projects in parallel with an eye to final packaging or finished deliverables.
- Build a reputation with partners as a person who can provide solutions to business problems.
- Focus on innovation and operate independently in an environment strongly engaged in creating impact for the business.
- Communicate and present analysis/key findings to senior stakeholders in a clear and concise manner.
- Recommend an action plan for business partners across WI RM and Sales organization.
- Projects can range from Strategic analysis to Data modelling to Prescriptive analysis.
- Effectively communicate findings, concerns, ideas, and project management elements to multiple stakeholders in an offshore-onshore environment.
Impact
This role will directly influence WI RM strategy, optimize business processes, and improve KPIs through data-driven insights and innovation.
The Value You Deliver
Work closely with business partners in WI RM & Sales organization to understand project requirement and implement the same using sound data knowledge and experienceData extraction: Extract data from appropriate sources in a complex warehousing environment. Require in-depth knowledge of data elements.Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify insights and trendsThis role will directly influence WI RM strategy, optimize business processes, and improve KPIs through data-driven insights and innovation.Handle multiple projects in parallel with an eye to final packaging or finished deliverablesBuild a reputation with partners as a person who can provide solutions to business problemsFocusing on innovation, and operating independently in an environment strongly engaged in creating impact for the businessCommunicating and presenting the analysis/key findings to senior stakeholders in a clear and concise manner.Recommending an action plan for the business partners across WI RM and Sales organizationProjects can range from Strategic analysis to Data modelling to Prescriptive analysis.Effectively communicate findings, concerns, ideas, project management elements to multiple stakeholders in an offshore-onshore environment
The Expertise we are Looking For
Qualifications
- Postgraduate degree in Economics, Statistics, Mathematics, or MBA from a premier institution.
- 4+ years of experience in advanced analytics, data science, and predictive modeling.
- Expertise in Python, R, SQL; experience with visualization tools (Tableau, QlikView).
- Strong business storytelling and stakeholder management skills.
How Your Work Impacts The Organization
Established in 2006 in India, the Analytics, Research and Data (ARD) function is focused on providing customized knowledge services to Fidelity businesses. The main capabilities of Analytics, Research and Data (ARD) function are: Advanced Analytics, Predictive Modeling, Data Science, Forecasting, Strategic Analysis and Digital Analytics, Campaign Execution and Effectiveness Measurement, Investment Research & Analysis, Market Research. As a part of the WI Analytics team, this role will have the scope and potential to improve business processes and impact the business KPIs, through usage of Data Science and ML techniques.
Key skills/competency
- Advanced Analytics
- Predictive Modeling
- Machine Learning
- Data Science
- Python
- R
- SQL
- Data Visualization
- Stakeholder Management
- Business Storytelling
Skills & topics
- Data Analytics
- Lead Data Scientist
- Predictive Modeling
- Machine Learning
- Python
- R
- SQL
- Data Visualization
- Business Intelligence
- Fidelity Investments
How to get hired
- Tailor your resume: Highlight experience in advanced analytics, data science, and predictive modeling using Python, R, and SQL.
- Showcase business acumen: Emphasize your ability to translate complex data into actionable business insights and present them effectively.
- Demonstrate technical skills: Be prepared to discuss your experience with statistical modeling, machine learning algorithms, and visualization tools.
- Prepare for stakeholder scenarios: Practice explaining technical concepts and project outcomes to non-technical senior leaders.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific predictive modeling techniques are most relevant for this Lead Data Analytics role at Fidelity Investments?
- For this Lead Data Analytics and Insights role at Fidelity Investments, relevant predictive modeling techniques often include regression analysis, time series forecasting, classification algorithms (like logistic regression, SVM, random forests), and clustering. Proficiency in applying these to financial data for business strategy and KPI improvement is key.
- How important is experience with specific visualization tools like Tableau or QlikView for the Lead Data Analytics position?
- Experience with visualization tools such as Tableau and QlikView is important for this Lead Data Analytics role at Fidelity Investments, as the ability to present complex data insights clearly and actionably to stakeholders is a key responsibility. Familiarity with these tools will be an advantage.
- What kind of business problems can I expect to solve as a Lead Data Analytics and Insights at Fidelity Investments?
- As a Lead Data Analytics and Insights at Fidelity Investments, you can expect to solve problems related to optimizing business processes, influencing sales strategies, improving key performance indicators (KPIs), and driving strategic decisions for the WI RM & Sales organization through data-driven insights and predictive modeling.
- What is the typical career progression for a Lead - Advanced Data Analytics and Insights at Fidelity Investments?
- Career progression for a Lead - Advanced Data Analytics and Insights at Fidelity Investments can lead to roles such as Senior Manager of Analytics, Director of Data Science, or specialized positions focusing on AI/ML strategy, depending on performance and business needs. The ARD function offers opportunities for growth in various data-focused areas.
- Does Fidelity Investments encourage innovation in data analytics roles like this Lead position?
- Yes, Fidelity Investments encourages innovation in data analytics roles. This Lead - Advanced Data Analytics and Insights position specifically mentions driving adoption of emerging technologies like AI/ML and cloud platforms, and operating in an environment focused on creating business impact through innovation.