Offer summary

Qualifications:

Post Graduate or MBA preferred, or graduates in Engineering, Mathematics, Operations Research, Science, or Statistics., At least 4+ years of experience in analytics using SQL, SAS, R, or Python., Proficient in data wrangling and basic statistical concepts, with experience in analyzing and interpreting data., Applied machine learning experience or familiarity with big data techniques is a plus..

Key responsibilities:

Design data-driven solutions and frameworks from scratch, consulting in a leadership capacity.

Drive business metrics to enhance revenue optimization for SCIO.

Perform quantitative and qualitative analyses to derive insights from data.

Translate insights into analysis reports and communicate findings to stakeholders.

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 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

Required profile