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Data Consultant

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • Decision Making
  • Collaboration
  • Communication
  • Organizational Skills
  • Physical Flexibility
  • Problem Solving

Roles & Responsibilities

  • Post Graduate or MBA, or graduates in Engineering, Mathematics, Operations Research, Science, or Statistics.
  • At least 4 years of experience in analytics using SQL, SAS, R, or Python, with knowledge of statistical concepts.
  • Proficiency in data wrangling with SQL and libraries like R's Dplyr or Python's Pandas, Pyspark.
  • Experience in applied machine learning, text mining, imaging mining, or big data techniques is a plus.

Requirements:

  • Design data-driven solutions and frameworks from scratch, including descriptive and predictive analytics.
  • Perform quantitative and qualitative data analysis to derive insights for business decision-making.
  • Develop reports and communicate insights effectively to stakeholders.
  • Apply advanced analytics techniques and technologies throughout the analytics lifecycle.

Job description

Minimum Qualifications: (Specify if degree required & type, number of years of prior experience, certifications,
etc.)
  • Post Graduate or MBA (preferred) OR Graduates in Engineering Mathematics Operations Research Science
    • Statistics
      • With atleast 4+ years’ experience in analytics using SQL, SAS, R or Python, basic statistical concepts and analyzing
        • data & interpreting results to the business
          • Or 3+ years’ experience preferably from Top tier AnalyticsconsultingAnalytics startup companies (Mu Sigma,
            • Tiger Analytics, Tredence, Ganit, Shell Data, Verizon data, eClerx, Optum ABCO, Unmetric, Accenture,EClerx, Latent
              View ) or
              • Candidates with 2+ working on healthcare data problems would be preferred (Eg: those from UnitedOptum
                • ABCO, TruvenIBM, Astra Zeneca, Zoom Rx, Sagitec solutions (Health) )
                  • Proficient in data wrangling using SQL and libraries of R,Python such as DplyrPandas, Pyspark etc
                  • Proficient in basic statistical concepts and analyzing data & interpreting results to the business
                  • Applied Machine learning experience or experience in text mining, imaging mining, screen scraping and other big
                    • data techniques will be a plus
                      Responsibilities and Essential Functions:
                      Analytics Practice within SCIO:
                      • Ability to design data driven solutions and Frameworks (Descriptive and Predictive) from scratch &
                      • consult in a leadership capacity on potential SolutionsStoryboards and POCs
                      • Drives business metrics that add to the topline and or profitability for SCIO’s revenue optimization business
                      • Perform quantitative and qualitative analysis like (raw) data analysis, statistical modeling, data deepdives etc. to acquire insights from data
                      • Develops Descriptive (reporting) through to Prescriptive Analytics
                      • Translates insights into an analysis reports and communicate insights back to the stakeholders
                      • Applies nextgen technology to all parts of the analytics lifecycle from data extraction, exploratory data analysis, predictive modeling, Data Mining and information extraction from unstructured data to visualization & story boarding
                        • Special Skills and Qualifications:
                          This role would suit candidates with the following attributes:
                          • Flexibility to work with different countries (timezones), groups, and business environment
                          • Should be versatile and ready to learn and apply new technologies, techniques in data science
                          • Ability to break down a vague business problem into structured data analysis approaches
                          • Ability to work with incomplete information and take judgmentdriven decisions based on experience
                          • Should have good organizational and people skills
                          • Should have good communication – able to collaborate with onshore stakeholders
                          • Strong aptitude to learnunderstand health care data databases

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