Associate Consultant

Key Responsibilities:

• Develop engagement strategies and content calendar for official online communities/groups on platforms like instagram, facebook, twitter & more
• Drive partnerships & collaboration with relevant online communities, superusers & social media influencers
• Work with product, creative, content & brand partnerships teams to develop member messaging for new campaigns, features, and product launches
• Create social engagement playbook/guidelines for community moderators
• Track & report trending topics and sentiment & feedback among the member community across all channels (social media, reviews, support, etc.) 

Qualifications:

• Graduate with at least 5 years experience in social media & community management
• Active and engaged participant in social media
• Strong verbal, written and presentation skills to communicate effectively
• Strong interpersonal skills and ability to build relationships with cross functional stakeholders
• Highly organized, detail-oriented and able to manage/execute multiple ongoing projects
• Ability to identify and track relevant community KPIs

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Purpose

·        The Analytics and BI Head will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.

·        The candidate will ensure data accuracy and consistent reporting by designing optimal processes and procedures for analytical managers and employees to create and follow.

·        The candidate will manage the processes and people responsible for correct data reporting, modeling, and analysis.

Key Responsibilities

Responsibilities will include but will not be restricted to:

·        Lead cross-functional projects involving advanced data modeling and analysis techniques and review insights that will guide strategic decisions and uncover optimization opportunities.

·        Managing project budgets and financials, including forecasting, monitoring, and reporting.

·        Providing clear and concise instructions to different teams to ensure quality delivery of analysis.

·        Maintain dashboards and performance metrics support that support key business decisions.

·        Planning and executing strategies for completing projects on time.

·        Determining the need for training and talent development.

·        Recruit, train, develop and supervise managerial level employees.

·        Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.

·        Oversee the deliverable pipeline, including rationalization, de-duplication, and prioritization.

·        Anticipate future demands of initiatives related to people, technology, budget and business across the departments and review solutions to meet these needs.

·        Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Technical Requirements (what)

·        Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques

·        Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred.

·        Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

·        Strong problem solving, quantitative and analytical abilities.

·        Strong ability to plan and manage numerous processes, people, and projects simultaneously.

·        The right candidate will also be proficient and experienced with the following tools/programs:

§ Experience with working on big data environments: Teradata, Aster, Hadoop.

§ Experience with testing tools such as Adobe Test & Target.

§ Experience with data visualization tools: Tableau, Raw, chart.js.

§ Experience with Adobe Analytics and other analytics tools.

Desired Personal Qualities or Behavior

·        Strong leadership qualities, ability to communicate the vision crisply and drive collaboration and innovation.

·        Must be an initiative-taker.

·        Strong diligence, organizational skills, and the ability to manage multiple projects

·        Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the company and outside vendors.

·        Ability to work in a diverse team environment and effectively support the demanding needs of the company.

·        Ability to work under pressure, meet deadlines with shifting priorities.