Fractal Analytics - Senior Consultant - Advanced Analytics - Python

Role Definition:

- S/He will be expected to deliver an analytics engagement at client location independently. This will include problem-solving, hypothesis testing, advanced analysis, creating models & solutions and compelling visualizations to make the solutions scalable and easily understood. The Senior consultant will collaboratively work along with senior engagement managers & lead a team of analysts and data scientists.

Job Responsibilities:

- Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

- Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

- Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.

- Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches

- Firm building: Contribute to firm growth by participating and conducting training sessions.

- Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

Skills & Qualifications:

- Overall experience of 5 to 6 yrs with at least 3 to 4 years of hands-on experience in running data analytics projects

- Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

- Knowledge of any one visualization tool such as Tableau, Spotfire or equivalent

- Problem-solving, Project management, and communication skills & Creative thinking

- High learning orientation & agility

- Attention to detail

- Project management skills

- Experience in processing and synthesizing large data sets

- Ability to think on his/her feet and engage with both the business and analytical community

- Ability to adapt with ambiguity in cross-functional environment

- Good to have: Experience Big data tools such as Hadoop, Hive, Impala, and Python

- Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)