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Data Analyst/Senior Data Analyst – CommonFloor.com – Bangalore (1-5 years of experience)

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Designation – Data Analyst/Senior Data Analyst

Location – Bangalore

About employerCommonFloor.com

Job description:

Are you someone who is obsessed with leveraging Advanced Data Analytics to drive business decisions? With over 10 million unique visitors each month, we are looking to transform our rich data into a gold mine of insights to drive our core business. Our ideal candidate would come with an excellent analytics toolkit and have a very rational way of tackling business problems to generate data driven insights. He/She would be a strong team player, acts like an owner, and ultimately focused on delivering results with highest standards

Responsibilities

  • Build a deep understanding of products and services offered by Commonfloor.com and be able to drive improvements & new product/feature launches through various analytics initiatives.
  • Track & monitor performance of our ATL & BTL marketing campaigns.
  • Build & ensure continuous improvement of response (propensity) models for our Sales teams.
  • Manage the production and distribution of recurring reporting and ad-hoc analysis
  • Work closely with Senior Executives, Product Managers and Subject Matter Experts to define & track overall business performance metrics and goals.

Qualification and Skills Required

  • 1 to 5 years of experience performing and leading analytics teams
  • Proven analytical skills and demonstrated ability to manage the business by the numbers. Must be metrics-driven.
  • Academics background in a highly analytical program with strong understanding of relational database management (e.g. SQL) and analytic techniques.
  • Deep understanding of statistical modeling and analysis techniques like Regression modeling, Response modeling, Next Product to Sell (Cross/up selling) analytics and Marketing segmentation.
  • Exposure to site analytics tools such as Adobe Site Catalyst (Omniture) or Google Analytics and statistical analysis tools like R or SPSS.
  • Experience with Real Estate Domain and E-commerce would be an added advantage

Interested people can apply for this job can mail their CV to jobs@analyticsvidhya.com with subject as Data Analyst/Senior Data Analyst – CommonFloor.com – Bangalore

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One Comment

  • Krishnalekha says:

    Hi,
    I am krishnalekha-MCA graduate from Calicut University, with more than 2 years of experiance as Data analyst at Healthyworld.I would like to attend the interview for the role-Analyst.PFA my Resume.

    Highlights of Qualifications and Key skills:
    • Over 2 years of experience as an analyst in digital marketing and product supply chain retail analytics
    • Ability to understand the data transformation process to report making
    • Profound knowledge and strong experience in accessing, managing, analyzing data and representing analytical business intelligence reporting.
    • Core competency using operational data and getting inferential input to be provided for business decision support by using technical tools like Excel, Access, Excel VBA, SQL ,R ,SAS (Base and Advanced) and SAS EG 4.3

    o Data Analysis and Manipulation: MS Excel, MS Access, Excel VBA, SQL and SAS
    o Advanced Analytics Technique: SAS, R and MS Excel
    o Reporting tool: MS Excel , MS Power Point, SAS reports, Qlikview and Tableau

    • Ability to build statistical model in Regression, Logistic Regression, ARIMA and Factor and cluster analysis
    • Strong project management experience.
    • Ability to understand the business problem, strategically planning and client communication.
    • Ability to analyze complex data and communicate and disseminate this information to lay people clearly and accurately.

    Analytics Tool: SAS, R and Excel
    SAS Skills: Base SAS, SAS/MACRO, SAS/SQL, SAS/STAT, SAS/GRAPH, SAS/ODS, SAS Enterprise Guide 4.0
    SAS PROCs: Tabulate, Report, Summary, Means, Freq, Sort, Reg, Plot, Gplot, Gchart, GLM, Logistic, Summary, Format, Transpose, Contents, Import, Export, etc.
    Languages: SAS, R, SQL, VBA.
    Databases: SQL/PLSQL, MS Access, MS Excel.
    Operating Systems: Window7, UNIX and Mainframe.
    Office Tools: WORD, Excel, Access, PPT etc.

    Thanks,
    Krishnalekha.

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