6 Apld Jobs

Job Description Functional Responsibilities Develop and execute approaches to analyze variety of Healthcare and Life sciences datasets, primarily creating reports on exploratory data analysis and statistical reports Strong proficiency with manipulating data with PL-SQL ( ORACLE 11g) A high comfort level with data manipulation and extraction of meaningful insights from large data and prior experience of working with IMS Health data assets or Patient level data (APLD) data is a plus. Experience with SQL/SAS/WPS is acceptable. Minimum 3 to 5 years of experience of working with pharmaceutical databases, including patient level transactional data, Claim analytics is preferred. Being creative in identifying new techniques and processes to streamline and increase efficiency and effectiveness of current work-streams is a plus. High level of attention to detail and problem solving Exposure on various Healthcare data sources like SHS, IQVIA, DRG , Labcorp, Flatiron Experion etc Have strong experience claims data and worked on various patient level data analytics like Adherence Studites, Line of therapy and Treatment Path analysis. Experienced on HEOR studies. Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously. Professional requirement Post graduate degree in Economics, MBA, Statistics, Mathematics, Operations Research, Quantitative Analysis, or related field Well-organized, capable of handling several projects at a time while meeting deadlines 3-5 years of consolidated work experience in Analytic Industry. Strong statistical and quantitative analysis skills. Knowledge of Statistical Analysis for Advanced knowledge of PL/SQL and experience with statistical packages such as R/SAS Strong problem solving skills Excellent data interpretation skills. Experience in using charting/reporting Skilled in MS-Office, specifically Excel and Powerpoint Should have strong knowledge of Healthcare domain OR any specific knowledge on Retail and FMCG/CPG industry will be an added advantage. Knowledge on Pharmaceutical Rx claims/ Medical claims will be an added advantage Intermediate to advanced proficiency in Excel and VBA Automate data analysis in support of the client offices principals and consultants Utilize SAS/WPS/R to create and automate analytical and modeling processes Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously

Design, plan, and oversee electrical systems and components in oil and gas, Petro-Chemical, Process projects.Ensure compliance with industry standards (IEC, NEC, API, IEEE, etc.) and project-specific requirements.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. Strong communication, project management, and storyboarding skills . Technical knowledge: R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. Strong communication, project management, and storyboarding skills . Technical knowledge: R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. Strong communication, project management, and storyboarding skills . Technical knowledge: R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred.

Role & responsibilities BA - APLD Analyst Experience level: 3 to 5 years Mandatory: US APLD, SQL, Excel, PowerPoint Good to have: Python, PySpark, Any BI tool, EU work exposure Preferred candidate profile Perks and benefits