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Business Analytics Specialist

3.00 to 5.00 Years   Hyderabad   27 Mar, 2020
Microsoft
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

  • Services Insights team is chartered to enable positive business outcomes by driving right behaviors and decisions through bold insights. This team understands the business goals, strategic drivers, success outcomes and associated behaviors, leading to the findings and insights needed to support the business outcomes. You will partner to meet a spectrum of demand across insights, analytics, decision-boards & scorecards.
  • Services Insights function endeavors to foster an insights-driven culture, to encourage and enable the entire organization to make more informed decisions through bold insights. Your passion and desire to define and enact the vision for insights & analytics will shape this function into a competitive differentiator.
  • Come join a team where you can enable data insights that drives multi-billion-dollar business.
KEY ACCOUNTABILITIES:
  • Build and develop analytical models working alongside a strong team of analysts, architects & vendor partners to deliver priority outcomes in alignment with the strategic roadmap for Services
  • Engage broadly with the stakeholders to frame, structure and prioritize business problems where insights can have the biggest impact. Apply advanced analytics concepts towards gaining rich and bold insights
  • Partner on a robust, sustainable cloud first big data architecture, data lake, data mart and other assorted reporting/distribution services with the data engineering teams
  • Attract, develop, retain talent and improving productivity, efficiency and effectiveness of the team and / or business. Create and manage standards, processes and procedures to ensure agile delivery and consistent operations.
, KEY QUALIFICATIONS:
  • Machine Learning - Regression, Classification, Clustering, Data preparation (outlier treatment, missing value imputations etc.), Feature engineering (polynomial, log and other functional transformations), Feature selection, Time series, Text Mining & Model interpretation through Decision Trees, Linear Models
  • Programming - Hands-on in R/Python and experience in using different Statistics/ML libraries available (rpart, c5.0, randomforests, GLM, GBM, Scikit-learn etc.)
  • Statistics - Basic probability distributions, estimation techniques, confidence intervals, hypothesis testing (z-test, t-test, ANOVA etc.). Understanding of Maximum Likelihood Estimation is a plus
  • Data engineering - Hands-on in SQL and experienced in working with RDBMS for data extraction and data read/write. Understanding of Data Warehouse fundamentals (architectural layers & schema types) is a plus.
  • Data Visualization - Experience in one or more Data Visualization tools (MS Power BI, Tableau etc.)
  • Masters in Statistics/Econometrics or PhD in Statistics/Economics/ Computer Science or related discipline is preferable, but a candidate with MS combined with strong analytical background in problems relating to Big Data and Analytics is also acceptable.
PERSONAL ATTRIBUTES/INTERPERSONAL SKILLS:
  • Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts.
  • An attention to detail with self-discipline and a drive for results.
  • Demonstrated ability to work in ambiguous situations and across organizational boundaries.

Keyskills :
business strategyclustering direct maildirection big datapower bi text miningtime series

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