Specialist - Analytics

Job Description

• The Data Value function is based in India and supports Fidelity Worldwide Investment s Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are:
• To develop deep customer insights for our businesses helping them segment and target customers more effectively
• To develop a fact based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels
• To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these
• To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc.
• To develop market and competitive intelligence in our key markets to help shape our business planning in those markets
The function works directly with business heads and other senior stakeholder s stakeholders to identify areas of analytics, define problem statements and develop key insights.Purpose of the RoleYou will be expected to take a leading role in developing the Data Science engagement and capabilities for our businesses. This will involve:
• Engaging with the key stakeholders to understand Fidelity s sales, marketing, client services and propositions context
• Engaging and collaborating with different other internal teams like data support team, technology team for development of new tools, capabilities and solutions.
• Work collaboratively with all stakeholders in developing compelling next gen AI/ ML driven real time visualisations. With capability to feed into recommender engines.
• Create Staus Reports , presentation for leadership and business consumption.
Key ResponsibilitiesStakeholder Management (50-60%)
• Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution.
• Engages with key stakeholders for smooth execution, delivery and implementation of solutions
Developing and delivering solutions (10-20%)
• Work collaboratively with all stakeholders , including the Business in developing compelling data visuals & dashboards
• Create automated AI analytics solution to map out the relationships between all metric, more so when there are hundreds and be able to identify important correlation.
• Create visualisations that allow to make predictions online using either pre-trained Machine Learning models or training them online.
• Data Management & Reporting
  • Maintenance of various lookup tables
  • Ad-hoc reporting capabilities -improve turnaround
  • Expand usage / expertise of Adobe tools, Decibel, Marketo, Seismic
Collaboration and Ownership (5-10%)
• Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations
• Takes complete independent ownership of the projects and the initiatives in the team with the minimal support
Developing/evaluating tools, methodologies or infrastructure: (30-40%)
• Evaluates/develops, advance tools, methodologies or infrastructure to support long-term business problems and take the group to the next level, e.g. modelling software, modelling methodologies, data and system requirements, scoring process, optimization environment
Experience and Qualifications RequiredQualifications:Engineer from IIT/Master s in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutionsExperience
• Overall 5 to 9 years of experience in Analytics
• 1 years of experience in Visualisation
• Experience of working with JIRA AGILE framework
• Should be able to run analytics applications such as Python, SAS and interpret statistical results
• Knowledge of Cloud technologies. AWS and Snowflake preferred.
Key Competencies
• Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects and articulating analytical insights to business managers
• Numeric agility
• Strong Excel skills
• Effective oral and written communication skills
• Knowledge of tableau /Power Bi is preferable
• Excellent problem solving skills
• Ability to independently own and manage the projects with minimal support
• High degree of comfort in working with ambiguity
• Excellent analytical skills and a strong sense for structure and logic
• Competent at analyzing both quantitative and qualitative data.
• Consistently reliable, methodical, adaptable, resourceful, enthusiastic, dedicated, self-motivated and commercially minded
• Ability to communicate effectively and to work with people at all levels within and outside the Company
• Focussed on providing high level customer service
• Proactive, willing to use initiative
• Flexible and adaptable, responds rapidly to changing agendas
• Ability to use good judgement in the use of confidential information
• Clear open communication with a willingness to listen
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Keyskills :
data sciencesales growthcentral banksproblem solvingclient servicescustomer servicemachine learningbusiness planninganalytical skills