• Work closely with multi-disciplinary teams to solve complex data problems and deliver insights that help define understanding in key business areas.
• Ensuring the set-up and maintenance of data structure and technologies to enable effective and efficient generation of data insights.
• Provides strategic direction to ensure analytics solutions are integrated into the wider Pharma Informatics System landscape.
• Raises awareness and educates the business partners of potential use cases that implement data & analytics to create business value.
• Develops the idea of how to integrate analytics solutions into an end-to-end process to gain the maximum potential of business value together with the business.
• Supports business analysis to ensure requirements represent the needs of the business users.
• Bridges the gap between business and data scientists by describing business requirements.
• Is the custodian of the affiliate data, including ongoing cleanliness of the data.
• Sources, provides and integrates new structured and unstructured data sets.
• Educates the affiliate on the latest relevant data management and analytical techniques and technology.
• Leads the architecture and technical input from the pharma client side required to scale the patient data ecosystem and align with other multi-functional team members
• Partners with external providers to integrate new and diverse information systems
• Leads and shapes architectural design connecting customers with third party solutions
• Ensures that the new architectural ecosystem enables smooth data transfer from the hospital systems (EHRs, eCRFs, Registries) to the pharma client's data warehouse
• Understands ETL processes and varying data formats / standards, to achieve the best collection of key data (from EHRs, eCRFs, Registries) ensuring security and compliance

Skills: Multidisciplinary Collaboration, Data Structure Management, Strategic Direction, Educational Outreach, Business Analysis Support, Data Custodianship, Technical Architecture Leadership, ETL Process Understanding

• Analyze vast quantities of disparate data to identify opportunities or respond to specific business questions from the Senior Manager, Used Cars.
• Evaluate market data to identify opportunities for sales growth and assist in the development of action plans to drive growth.
• Interpret and apply data trends to broad concepts, combine data sets across multiple sources and build relevant reports to convey dealer/region/network performance.
• Product metric reporting for inventory mix, color, options to develop proper investigative reports that increase sales.
• Develop predictive modeling and forecasting of CPO claims warranty information.
• Forecast CPO subvention fund.
• Determine the specific impact programs (including incentives and training) have on sales, market share, and more at an employee, dealer, area, regional and national level, in coordination with the Training and Incentives Manager.
• Review media and website data to identify opportunities and impact, in coordination with the Senior Marketing Specialist.
• Create automated sales reports to be distributed to HQ and field employees.
• Create automated reports to solve other business needs, specifically, marketing, training and incentives.
• Administer ad-hoc reporting for the regional RUCM to increase sales, identifying opportunity areas and other usable insights

Skills: Data Analysis, Market Analysis, Data Trend Interpretation, Predictive Modeling, Sales Forecasting, Program Impact Analysis, Automated Reporting, Ad-hoc Reporting

• Garner and document reporting requirements from internal and external stakeholders.
• Develop and deploy reports while working with development, project management and operations teams.
• Manage reporting and other business analysis deliverables against project plans.
• Collaborate with the Engineering and Product teams to ensure delivery timelines are consistently met and the data and report quality meets user expectations.
• Evaluate and understand long term enterprise reporting needs for both internal and external stakeholders.
• Develop a strategic plan for scalability to support a growing organization.
• Identify and support areas of analytical focus for the organization’s performance and evaluation of potential areas of opportunity and risk.
• Drive and develop new KPIs, metrics, and visualizations/dashboards.
• Utilize analytical findings to evaluate trends and identify opportunities for product and operational improvements.

Skills: Requirement Documentation, Report Development, Project Management, Team Collaboration, Enterprise Reporting Strategy, Strategic Planning, Analytical Focus Development, KPI and Visualization Development

• Consistently examines trends in the existing data to uncover opportunities for improvement and efficiency in the business.
• Leverage a variety of new data sources to promote progressive ways of thinking and facilitate executive level insights into the overall company strategy.
• Collaborating with key stakeholders to design, develop and maintain Informatics systems.
• Provide strategic support to product teams, including framing strategic issues, facilitating the development of alternatives, choosing a methodology that is situationally appropriate, collecting information to support analysis, conducting analysis, presenting analysis results.
• Develop and use models and tools designed to understand risk, time, cost and value under many scenarios and with a variety of decision frameworks.
• Drives implementation of recommendations when appropriate, engages with leadership and stakeholders throughout to ensure buy-in.
• Review utilization data and measure product performance against key performance indicators to identify opportunities to drive process improvement initiatives and efficiencies.
• Develop data management standards and best practices for managing the RxMx reporting tools and analytics platforms.

Skills: Trend Analysis, Data Sourcing, System Design and Maintenance, Strategic Support, Risk and Decision Modeling, Implementation Leadership, Performance Analysis, Data Management Standards

• Build business cases and develop technical and functional specifications to solve problems with analytics and predictive models
• Plan and manage throughout the project lifecycles with agile methodology to develop the deliverables/MVP within a short time
• Prioritise requirements and implement improvements to enable optimal services to be delivered to customers
• Collaborate with various business functions to understand company needs and devise possible solutions.
• Help the company analyse trends to make better decisions with the emerging technology like ML automation, RPA and AI catalog
• Architect, build, and maintain data pipelines and applications such as dashboards and reporting tools to visualize data for descriptive, predictive, and prescriptive analytics
• Gather, sanitize, and analyze data to construct the narratives and convey key insights
• Transform incomplete and vague requirements into well-designed products that exceed expectations on delivery
• Mentor and supervise post-graduate interns working in AMD offices worldwide

Skills: Business Case Development, Agile Project Management, Requirement Prioritization, Cross-functional Collaboration, Trend Analysis, Data Pipeline Architecture, Data Analysis and Sanitization, Mentorship and Supervision

• Experience in data-related roles as Architect, Solutionist, Delivery Manager (Big Data Architecture, Traditional warehouse Architecture).
• Exposure and Architecture understanding of at least one cloud platform / hands-on solution MUST have- Azure, AWS,GCP or Snowflake.
• Exposure to cloud-based technology like AWS - EMR, HDFS, HIVE, Apache Kylo, Apache NiFi, Elastic Search
• Exposure to client workshops and presentations, RFP response and willing to travel.
• Ability to create, articulate Go To Market Offerings and lead and seed initial deals from a solution viewpoint
• Sales orientation and mind-set is expected, however with core solution and architect experience. 
• Exposure to leading, driving large deals.
• Practice and team-building experience / Experience of working with an offshore team
• Must have exposure to at the domains - Insurance, Banking and Capital Markets, Healthcare, Media, Hotels, or Casinos.
• Have advanced technical knowledge of Excel to include: Power Pivot, Power Query, and Power BI.
• Experience preferably working with pharmaceutical data.
• Able to think outside of box to develop solutions

Qualifications: BA in Applied Mathematics with 15 years of Experience

• Experience in Data & Analytics, systems, or reporting function.
• Experience in statistical analysis and complex data interpretation with the ability to present information and insights to all layers of the organization in a concise, clear, and timely manner.
• Advanced Excel keynote and PowerPoint Skills.
• Strong problem-solving capability and ability to analyze complex problems or situations and develop practical solutions
• Demonstrated analytical skills and proven experience in applying a systematic and disciplined approach to resolving complex issues
• Attention to detail
• Proven ability to understand and translate customer requirements/needs when making decisions
• Self-directed with the ability to work independently and as well as part of a team
• Experience working with virtual teams across diverse geographical locations
• Operates with a keen sense of urgency

Qualifications: BA in Information Systems with 8 years of Experience

• iGaming experience
• Highly analytical and strong critical-thinking skills - knows how to approach and solve business questions.
• Fluent in SQL and building data models.
• Solid experience creating dashboards using Tableau and / or Power BI.
• Knows how to present data in a meaningful way.
• Excellent problem-solving skills and a good team player.
• Experienced with databases, data warehouses, ETL, and data processing tools.
• Experience in advanced analytical techniques (forecasting, recommendations, machine learning) using R or Python
• Proactive with a positive mindset and a can-do attitude.
• Data analysis skills and previous experience using tools such as Excel, SQL, Python.
• Have experience creating effective Excel Data Models.
• Capable of communicating clearly, both orally and in writing.

Qualifications: BA in Computer Science with 3 years of Experience

• Ability to draft data requirements, to capture needs of business customers.
• Experience creating data lineage and management artifacts (such as data flow diagrams and data dictionaries).
• Experience using Python for data analysis.
• Experience with using data modelling products such as ER Studio.
• Experience with metadata management techniques.
• Experience with relational database structures, dimensional models, ETL and Big Data technologies.
• Strong verbal and written communication skills including the ability to develop and deliver presentations to multiple types of audiences. 
• Must be able to interact cross-functionally and drive both business and technical discussions.
• Ability to work collaboratively with key internal stakeholders, external customers, external stakeholders, and vendors.
• Experience using SQL or other data querying languages for database and data structure analysis.
• Development experience with SQL, PL/SQL, DDL, XML, JSON, and SPARQL

Qualifications: BA in Statistics with 7 years of Experience

• Strong DAX, M, SQL coding experience, R and Python
• Advanced creative problem-solving skills
• Strong eye for detail, accuracy and clean visualisations
• Ability to initiate and facilitate change, including strong stakeholder management experience
• Prior experience in process, UI and data collection applications
• Experience with creating data architectures for highly complex business domains.
• Experience with event-driven and message-based technical design patterns.
• Highly driven, results-oriented, creative and nimble problem solver and a willingness to do  whatever it takes to deliver business value quickly.
• Possess comprehensive knowledge of the MS Office suite of software, with specific experience in effective use of Outlook, PowerPoint, Excel, and Word.
• Capable of performing assigned tasks with minimal oversight or correction.
• Have a working knowledge of GFEBS BI reporting.

Qualifications: BA in Data Science with 3 years of Experience