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 Analytics/consulting/Analytics 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 United/Optum
ABCO, Truven/IBM, Astra Zeneca, Zoom Rx, Sagitec solutions (Health) )
- Proficient in data wrangling using SQL and libraries of R,Python such as Dplyr/Pandas, 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 Solutions/Storyboards and POCs
- Drives business metrics that add to the top-line and / or profitability for SCIO’s revenue optimization business
- Perform quantitative and qualitative analysis like (raw) data analysis, statistical modeling, data deep-dives 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 next-gen 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 (time-zones), 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 judgment-driven decisions based on experience
- Should have good organizational and people skills
- Should have good communication – able to collaborate with onshore stakeholders
- Strong aptitude to learn/understand health care data / databases