Offer summary

Qualifications:

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..

Key responsibilities:

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