Augmented Analytics Engineer
CZE - Central Bohemian - Prague (Five)
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified its 130-year legacy. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Our Information Technology organization partners with colleagues across the business to help serve our patients and customers around the world. Ours is a high energy team of dynamic, innovative individuals dedicated to advancing our contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity.
The Consumption & Insights Generation team, which is part of the Central Data & Analytics organization within Chief Technology Office, is responsible for creating a seamless experience for analytics experts to harness the potential of data and interactive analytics through a unified platforms across the enterprise – from scientific/clinical to commercial across all our locations.
We are actively exploring ways to make analytics more accessible to a broader user group and reduce the time to gather insights. Therefore, we are looking for someone with excitement for AI-Powered Analytics who will help us to improve and adopt Conversational/Augmented Business Intelligence platform. As an Augmented Analytics Engineer, you will play a critical role in enabling analytics and data-driven decision-making within our organization.
What will you do?
Supports divisional teams in the use case enablement and conducts business PoCs.
Drives platform adoption across divisions.
Supports product owner with managing the entire product lifecycle.
Collaborates with other cross-functional teams on platform integrations, conducts technical PoCs and delivers robust solutions.
Administers the product platform and contributes to general framework definition.
Conducts continuous product discovery to understand user needs and develop solutions.
Qualifications, Skills & Experience Required
3+ years of experience with a strong focus on business intelligence and data analytics.
Proficiency in the use of visual analytics tools and technologies.
Technical background in data engineering, data architecture, platform administration, or related roles.
Proficiency in SQL for data manipulation and querying.
Confident individual who is organized, able to coordinate teams and activities in a complex international environment.
Excellent interpersonal and communication skills, with the ability to quickly establish credibility and trust with a variety of stakeholders and clearly communicate technical and non-technical information verbally and in writing.
Strong problem-solving skills, ability to work independently, and a passion for leveraging data to drive business outcomes.
Nice to have
BSc in IT, Engineering, Computer Science, or related field.
Experience with visualization tools such as ThoughtSpot, Spotfire, Qlik Sense, Power BI.
Expertise in working with cloud data warehouses such as Amazon Redshift, Databricks.
Proficiency in Python for data processing and scripting.
Certifications in Cloud technologies or understanding of AWS services for data management, storage, and analytics.
Prior experience in Enterprise SaaS product management or administration.
Familiarity with Release Management, Problem and Incident Management, and Software Development Life Cycle best practices.
Previous experience in Life sciences and Pharma domain.
What we offer:
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral programme
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes
Up-to-date laptop and iPhone
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business Intelligence (BI), Communication, Data Analytics, Data Engineering, Data Visualization, Innovation, Interpersonal Communication, Stakeholder Dialogue, Structured Query Language (SQL), Technical KnowledgePreferred Skills:
Amazon Web Services (AWS), Cloud Technology, Computer Science, Enterprise Software as a Service (SaaS), Information Technology (IT), Microsoft Power Business Intelligence (BI), Python (Programming Language), Software Development Life Cycle (SDLC), ThoughtSpot (Software), ThoughtSpot SageJob Posting End Date:
11/21/2024*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Business Intelligence Computer Science Data Analytics Databricks Data management Data visualization Engineering Pharma Power BI Python Qlik Redshift SDLC Spark Spotfire SQL
Perks/benefits: Career development Competitive pay Flex hours Gear Health care Medical leave Parental leave Relocation support
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