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Associate/ Senior Associate, Data Management Location: Remote (For India Candidates) Department: Analytics Type: Full-Time Min. Experience: Experienced (2-4 yrs)Read the full posting
Design databases and reporting solutions that improve efficiency long term
Develop and maintain the analytics data warehouse and MDM system
Set up processes that track data accuracy, completeness, and consistency
Deliver data sets, views, and automated reporting to stakeholders
Document ETL and MDM processes, data flow, and data quality
properly design database and reporting solutions that improve efficiency over the long term
Responsible for developing and maintaining the Analytics data warehouse and MDM
Develops and deploys processes to establish and track data accuracy, completeness, and consistency
Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis
Documents ETL & MDM processes used for the data warehouse, data flow, and data quality
Education: - Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience. Benefits and Perks:
From the employer’s posting.
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 154
Up longer than most. Similar jobs usually come down between day 5 and day 58.
From 617 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system. - Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables. - Driving the adoption of data management and reporting tools for business users.
- High proficiency with the SQL language and database management - Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau. Education: -
- Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements. - High proficiency with the SQL language and database management - Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.
We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform
Associate/ Senior Associate, Data Management
Location: Remote (For India Candidates) Department: Analytics
Type: Full-Time Min. Experience: Experienced (2-4 yrs)
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.
We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Overview: -
Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.
Key Responsibilities: -
Qualification: -
Education: -
Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.
Benefits and Perks:
KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.
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India
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform Associate/ Senior Associate, Data Management Location: Remote (For India Candidates) Department: Analytics Type: Full-Time Min. Experience: Experienced (2-4 yrs)
Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform. Overview: -
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