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Consultant, Advanced Analytics

4.00 to 5.00 Years   Bangalore   09 Sep, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

About Fractal :Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal s mission is to power every human decision in the enterprise and uses the power of AI to help the world s most admired Fortune 500 companies. Fractal s products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as India s best companies to work for, by The Great Place to Work Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave 2019 by Forrester Research, and recognized as an Honorable Vendor in 2019 magic quadrant for data & analytics by Gartner.Role Brief:S/He is expected to work directly with the client in a fast paced working environment to address their day-to-day analytics needs. They will need to address business problems by incorporating the business context to design and develop solutions that leverage statistical & advanced analytics methodologies. They should be able to form hypotheses and develop models to support decision making. They will be expected to build in efficiencies through standardisation and automation.The indicative areas of work would be -

  • User Analytics - Understanding user behavior throughout the lifecycle - acquisition channel, drivers of churn, user engagement, impact of emails & notifications
  • Predictive analytics - Recommendation engines to drive engagement with end-users
  • Marketing measurement - Evaluating effectiveness of marketing campaigns wrt key success metrics
  • Product analytics - Understand the impact of product features and experience on business KPIs
  • BI Dashboard building - Understand user needs to design visualizations that provide them information critical for decision making
Analytics experience: 4-5 years of hands on experience. Analytics experience in the payments industry will be preferred.Academics: Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred) Tools & platforms:
  • Expertise in advanced SQL
  • Expertise in either Python / R
  • Experience in any visualization tool like Tableau, Spotfire, Power BI or equivalent
  • Data pipeline & workflow creation (preferred)
Technical skills:
  • Exploratory data analysis
  • Problem solving & Insight generation
  • Expertise in analytics techniques such as general linear model, ANOVA, decision trees, linear regression etc.
  • Fundamental understanding of hypothesis testing & campaign design
  • Fundamental understanding of standard predictive and classification models; when to use and how to interpret results
Other skills:
  • Client management: Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments
  • Project management: They will be expected to lead the client engagement end to end, and ensure quality of deliverables, maintain task tracker and have clear cadence on deliverables.
  • Ability to work in ambiguous situations with cross functional teams
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Keyskills :
marketing campaignshypothesis testingoperations researchadvanced analyticspower bi

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