19 Pharma Domain Jobs

Title - Omnichannel Reporting Business Analyst Experience -3- 10 Years Responsibilities • Experience in digital or omnichannel reporting, analytics & insights • Solid understanding of Paid Media channels (display, 3 rd party email, paid search etc) and Owned digital channels (websites, home office email etc) and familiar with associated data sets & platforms (3 rd Party Media PLD data, DCM, SA 360, Meta, LinkedIn, Adobe Analytics etc) • Create visualizations of digital KPIs that illustrate performance and highlight trends • Analyse digital metrics to identify drivers of performance, derive insights and recommend tactical optimizations • Experienced in one or more BI technologies: Power BI • Medium proficiency in MS Excel and SQL • Design, develop, enhance and maintain reports and dashboards in Power BI • Gather requirements and work with stakeholders to analyze business needs around reporting • Dedicated owner of data extracts to support all reporting deliverables • Translate reporting business requirements into functional requirements for data extracts • SME for all BU data sources, segmentation business rules and aggregates • Coordinate and manage implementation of test and control • Work across departments to iteratively enhance and improve reports. • Participate in visual design and implementation of reporting suite look and feel • Basic understanding of pharma commercial KPIs is required • Should have some business analytics experience / mindset and domain expertise • Experience in handling large data sets and building custom reports • Develop custom intuitive, interactive and dynamic dashboards, enabling actionable insights and self-service analytics. • Excellent problem solving, analytical, technical, interpersonal and communication skills

• Design and implement data pipelines using AWS services such as S3, Glue, PySpark and EMR. • Develop and maintain data processing and transformation scripts using Python and SQL.

You are an experienced SAP EWM (Extended Warehouse Management) Consultant at Level L4 with a strong background in greenfield S/4HANA implementations, particularly within the life sciences and pharmaceutical industries. Your role involves leading greenfield S/4HANA projects, delivering customized solutions to clients in the life sciences/pharma sector, and ensuring successful project delivery. You need to possess deep expertise in SAP EWM, have a proven track record in managing client meetings and workshops, and be willing to travel as needed. Your key responsibilities include leading and managing greenfield S/4HANA implementation projects within the life sciences/pharma industry, designing and configuring the SAP EWM module to meet specific business requirements and regulatory standards, overseeing system integration, testing, validation, and data migration activities. You will conduct client meetings to gather requirements, present solutions, and provide project updates, as well as facilitate workshops to engage clients, understand their operational challenges, and deliver tailored solutions. Building and maintaining strong client relationships is crucial as you will serve as the primary point of contact throughout the project lifecycle. Additionally, you will provide expert advice on SAP EWM best practices, S/4HANA capabilities, and industry-specific standards, particularly for life sciences/pharma. You will develop and propose innovative solutions to meet client needs, ensuring compliance with industry regulations such as GMP (Good Manufacturing Practices). As part of project management, you will develop and manage project plans, timelines, and budgets, coordinate with cross-functional teams, and ensure timely delivery of project milestones and deliverables. Training sessions for end-users and key stakeholders will be developed and delivered, along with creating and maintaining comprehensive documentation. Willingness to travel to client sites as required, including international travel if necessary, is expected. You should hold a Bachelor's degree in Engineering, Life Sciences, Information Technology, or a related field, with a minimum of 10 years of experience as an SAP EWM Consultant focusing on greenfield S/4HANA implementations in the life sciences/pharma industry. In-depth knowledge of the SAP EWM module, including warehouse management, inventory management, and integration with other SAP modules, is necessary. Strong understanding of business processes, regulatory requirements, and quality standards within the life sciences/pharma industry is essential, along with excellent communication, presentation, and client management skills. Proven experience in leading client workshops and delivering complex projects on time and within budget is required. Holding an SAP S/4HANA certification is a plus. Preferred skills include experience with SAP QM (Quality Management) and SAP PP (Production Planning) in the context of life sciences/pharma, familiarity with FDA regulations, GMP, and other industry-specific compliance requirements, as well as knowledge of Agile and Waterfall project methodologies. NTT DATA Business Solutions offers employee-friendly benefits, a team-oriented corporate culture, active participation in shaping your future, individually tailored learning, coaching & mentoring programs, sustainable career support, and international project opportunities and networks. If you meet the qualifications and are ready to take the next step in your career, NTT DATA Business Solutions looks forward to receiving your complete application documents stating the earliest date you could start. Get empowered by NTT DATA Business Solutions!,

Lead business requirements analysis in the area of Consent & Preference Management, Data Privacy, Customer Identity and Access Management and other customer facing privacy solutions. Own the solution design and ensure consistency of the overall solution by continuous management of user expectations. Own user requirements specifications, ensuring that the complexity of the requirements is documented in concise, scalable manner that is easily understood by both the business team and solution delivery teams. Lead the gathering of user requirements & building product backlog by providing continuous clarifications to the technical team on requirements during build, and validating the implementation of requirements Articulate the voice and priorities of the customer, define the vision, roadmap, and goal of the Product, identify, and prioritize features to be delivered through the Product Backlog Collaborate with the Product team on a regular basis, help define feature acceptance criteria and test cases, act as the primary liaison with the end customer and business sponsors and deeply understand the business strategy and communicate it effectively to the development team Ensure solutions meet business and/or customer needs throughout the product lifecycle and identify methods to improve current team processes and quality standards. Education & Qualifications Bachelors degree or equivalent experience in a computer science, engineering or information technology discipline. Experience 8+ years of experience in business process analysis with customer facing applications. 3+ years of business process analysis experience in Pharma domain Proven experience analyzing business needs, eliciting and documenting effective user requirements. Awareness of regulatory controls applicable for IT systems Ability to collaborate with subject matter experts, technical experts across teams solution design Expert in business process modelling and data flow creation Expert in GDPR, CCPA and other Data Privacy laws Excellent verbal and written communication skills Strong understanding of agile methodologies. Familiarity with product management tools such as JIRA, Confluence etc. Good to have prior working experience on tools like SAP CDC or OneTrust Knowledge of SAFE Agile methodologies preferred

As a Data Engineer, you will be responsible for designing and implementing data pipelines using various AWS services including S3, Glue, PySpark, and EMR. Your role will involve optimizing data storage and retrieval through AWS database services such as RDS, Redshift, and DynamoDB. Building different data warehousing layers to cater to specific use cases will be a key aspect of your responsibilities. Your expertise in SQL and strong understanding of ETL processes and data modeling will be essential in ensuring the accuracy and availability of data to customers. You will also need to comprehend how technical decisions can impact business analytics and reporting for our clients. Experience with AWS cloud and services like S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues will be beneficial in this role. The ideal candidate should possess a Bachelor's or Master's degree in Computer Science or Information Technology. Prior experience with batch job scheduling and identifying data or job dependencies will be advantageous. Proficiency in data warehousing, ETL processes, and big data processing will be considered a valuable skill set. Additionally, familiarity with the Pharma domain would be a plus for this position. Join our team to contribute to the development of robust data solutions and drive impactful insights for our clients in a dynamic and collaborative environment.,

You will be joining Axtria, a global provider of cloud software and data analytics dedicated to the life sciences industry. Your role will involve analyzing the in-patient journey and leveraging patient-level data to develop effective solutions for pharmaceutical clients. As an expert in Patient Analytics, you will lead a team and collaborate closely with stakeholders to ensure successful project delivery. Your responsibilities will include managing client relationships, defining algorithms, executing analyses, and delivering high-quality solutions and reports. Additionally, you will contribute to enhancing Axtria's tools and capabilities through Hackathons, solution design, and process automation. Effective communication with clients and onshore teams will be crucial for this role. To excel in this position, you should have 4-6 years of experience in the Pharmaceutical/Life Sciences Domain, with a focus on patient journey analytics. Proficiency in working with patient-level data from various sources such as APLD, EMR, and Prescription data is essential. Strong analytical, logical reasoning, and problem-solving skills are required, along with expertise in statistical modeling and data visualization tools. Preferred qualifications include a BE/B.Tech/B.Pharma/M.Pharma/M.Tech/MBA degree. Proficiency in R/Python/SQL and experience in building statistical models or AI/ML models using tools like PySpark, Keras, and TensorFlow will be advantageous. Strong project management, communication, and storytelling abilities are also key for success in this role. Your expertise in analyzing pharma real-world data and building statistical models using advanced tools will be highly valued in this position. Additional experience in AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow will give you a competitive edge. If you possess these skills and are passionate about making a positive impact in the healthcare industry, we encourage you to apply and be a part of our dynamic team at Axtria.,

You will be joining as a Recruiter with a focus on the Pharma domain to provide support to Fortune 500 clients in the US market. Your primary responsibility will involve sourcing, screening, and evaluating candidates for various open roles. Once you have identified potential candidates, you will submit them to the team leads for further consideration. It will be essential to build a robust pipeline of candidates by thoroughly understanding the job requirements and assessing the suitability of candidates based on their interests, experience, visa eligibility, and location preferences. This role will require you to have 1-3 years of recent experience in US Staffing, particularly in serving Pharma clients and handling Pharma positions. A background in Pharma/Biotech will be advantageous. You should possess a good grasp of US tax terms, visas, and geography. Strong verbal and written communication skills in English are essential for effective interaction with candidates and clients. Additionally, experience with an Applicant Tracking System like Job Diva would be a plus. An understanding of comprehensive recruiting across various industries in the US will be beneficial. The position is based onsite in Noida with shift timings aligned with PST. At Net2Source, we prioritize our employees" well-being as we believe that their satisfaction directly impacts our business success. To ensure a motivating work environment, we offer competitive compensation and benefits, including an annual performance bonus, recurring incentives, paid paternity and marriage leaves, term insurance coverage, and health insurance benefits.,

The role of Senior Data Engineer involves designing, building, and maintaining ETL/ ELT pipelines. You will be responsible for integrating data from various sources to generate comprehensive insights. Additionally, you will manage Data warehouse solutions, design data models, create ETL processes, and ensure data quality. Performing exploratory data analysis to troubleshoot issues and collaborating with clients is also part of your responsibilities. Mentoring junior team members and offering guidance will be expected from you. In terms of technical skills, proficiency in Python, Pyspark, SQL, Data Warehouse, ETL, Data Modelling, and building ETL Pipelines is crucial. Hands-on experience with tools like Databricks, Redshift, ADF, and cloud services such as Azure/AWS S3, Glue, Lambda, CloudWatch, and Athena is required. Knowledge of Data operations, quality, data governance, SFDC, and Waterfall/Agile methodology is essential. Familiarity with the Pharma domain and life sciences commercial data operations is also preferred. To qualify for this position, you should hold a Bachelor's or Master's degree in Engineering, MCA, or equivalent field. A minimum of 4-6 years of experience as a Data Engineer, particularly working with Pharma syndicated data like IQVIA, Veeva, Symphony, Claims, CRM, Sales, etc., is necessary. You should possess strong communication skills, analytical abilities, problem-solving skills, and demonstrate high motivation, good work ethic, maturity, self-organization, and personal initiative. Collaborative teamwork and support to the team are crucial aspects of this role. Ideally, this position is based in Hyderabad, India.,

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You are being hired as a Recruiter in the Pharma Domain to provide support to our Fortune 500 clients in the US market. Your primary responsibilities will include sourcing, screening, and evaluating candidates for various open roles on behalf of the clients. You will work closely with team leads to submit suitable candidates across different skills. In this role, you will be required to develop a robust candidate pipeline by thoroughly understanding job requirements and assessing the compatibility of potential candidates based on their interests, experience, visa eligibility, and location preferences. The position is based onsite in Noida, with shift timings aligned with PST. To be eligible for this role, you must hold a graduate degree, preferably with a background in Pharma or Biotech. Having 1-3 years of recent experience in US staffing, specifically catering to Pharma Clients and positions, is essential. A sound knowledge of US tax terms, visas, and geography is crucial, along with excellent verbal and written communication skills in English. Desired qualifications include extensive recruiting experience across diverse industries in the US, particularly in serving Pharma Clients with a focus on Clinical/Scientific roles and pharma/light industrial positions. Familiarity with Job Diva as an Applicant Tracking System would be advantageous. At Net2Source, we prioritize our employees" well-being, believing that a content workforce leads to successful business outcomes. Our compensation and benefits are structured to foster a motivating work environment, offering perks such as an annual performance bonus, progressive recurring incentives, paid paternity and marriage leaves, term insurance coverage of 20 lacs (fully paid by the company), and health insurance with a minimum coverage of 5 lacs (fully paid by the company).,

As an ERP Tech Support at our company, you will be responsible for providing technical support and troubleshooting for ERP users in various departments. Your role will involve participating in ERP implementation projects, including requirement gathering, setup, configuration, testing, and user training. You will configure ERP modules specific to the pharmaceutical industry, such as inventory management, production planning, quality control, and compliance. Additionally, you will collaborate with ERP vendors or developers to resolve system bugs, integrate new features, and perform version upgrades. Monitoring ERP system performance, ensuring data integrity, and maintaining documentation for support activities and SOPs will also be part of your responsibilities. It will be crucial for you to ensure ERP compliance with industry standards and pharmaceutical regulations like GMP, GAMP, and FDA guidelines. You will also create and manage user roles and access rights according to organizational policies and assist in report development and customization based on functional team requirements. To be successful in this role, you must hold a Bachelor's degree in Information Technology, Computer Science, or a related discipline and have 2-5 years of experience in ERP support, implementation, and configuration. Prior experience in the Pharmaceutical industry or with ERP systems tailored for the pharma domain is preferred. A strong understanding of pharma business processes and regulatory requirements is essential, along with hands-on experience with ERP systems like SAP, Oracle, Microsoft Dynamics, Odoo, or Infor. Problem-solving skills, proactive mindset, and excellent communication and stakeholder management skills are also required. Preferred qualifications include working knowledge of SQL and database systems for data analysis, familiarity with pharma validation procedures (CSV - Computer System Validation), and experience with ERP integrations with systems like LIMS, MES, or CRM.,

As an ERP Tech Support, you will be responsible for providing technical support and troubleshooting for ERP users in various departments. You will play a key role in ERP implementation projects, including requirement gathering, setup, configuration, testing, and user training. Your expertise will be utilized in configuring ERP modules specific to the pharmaceutical industry, such as inventory management, production planning, quality control, and compliance. Collaboration with ERP vendors or developers will be essential for resolving system bugs, integrating new features, and performing version upgrades. Monitoring ERP system performance, ensuring data integrity, and maintaining documentation for support activities and SOPs will be part of your daily responsibilities. Compliance with industry standards and pharmaceutical regulations, including GMP, GAMP, and FDA guidelines, will be a critical aspect of your role. You will be involved in creating and managing user roles and access rights in alignment with organizational policies. Additionally, you will assist in report development and customization based on functional team requirements. Your qualifications should include a Bachelor's degree in Information Technology, Computer Science, or a related field, along with 2-4 years of experience in ERP support, implementation, and configuration. Prior experience in the pharmaceutical industry or with ERP systems tailored for the pharma domain will be advantageous. A strong understanding of pharma business processes and regulatory requirements is essential. Hands-on experience with ERP systems like SAP, Oracle, Microsoft Dynamics, Odoo, or Infor is preferred. Problem-solving skills, proactive mindset, and effective communication and stakeholder management are key attributes for this role. Moreover, working knowledge of SQL and database systems for data analysis and reporting is required. Familiarity with pharma validation procedures, such as CSV Computer System Validation, and experience with ERP integrations with systems like LIMS, MES, or CRM will be beneficial in fulfilling your responsibilities effectively.,

SAP PM specialist with expertise in Work Order, Notification, Maintenance Planning, CR dev, interfaces, UAT & change mgmt. Experience in L2/L3 support, Pharma domain preferred Strong in documentation, Solution Manager, HP ALM, and calibration process

Key Deliverables: Implement data governance framework for the Development domain in biopharma lifecycle Drive compliance with data quality, access, security, and privacy standards Maintain data definitions, models, and lineage documentation Enable business glossary, data dictionary, and stewardship across domains Role Responsibilities: Align with MDM, data fabric, and enterprise data standards Partner with business teams to meet regulatory and privacy needs Use tools like Collibra/Alation to support governance operations Collaborate with global teams and build strong stakeholder relationships

This position is part of the technical leadership in data warehousing and Business Intelligence areas. Someone who can work on multiple project streams and clients for better business decision making especially in the area of Lifesciences/ Pharmaceutical domain. Job Responsibilities Technology Leadership Lead and guide the team independently or with little support to design, implement, and deliver complex cloud data management and BI project assignments. Technical Portfolio Expertise in a range of BI and data hosting technologies like the AWS stack (Redshift, EC2), Snowflake, Spark, Full Stack, Qlik, Tableau, Microstrategy. Project Management Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others work. Ability to think in advance about potential risks and mitigation plans. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis. Handle Client Relationship, P&L Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills. Education BE/B.Tech Master of Computer Application Work Experience Minimum of 5 years of relevant experience in Pharma domain . Technical: Should have 15 years of hands-on experience in the following tools. Must have working knowledge of at least 2 of the following tools: QlikView, QlikSense, Tableau, Microstrategy, Spotfire . Aware of techniques such as UI design, Report modeling, performance tuning, and regression testing . Basic expertise with MS Excel . Advanced expertise with SQL . Functional: Should have experience in following concepts and technologies: Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation. Relevant Experience: 0-2 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company. 1-3 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company. 3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company. 3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company.

Position : Data Engineer Location : Hyderabad Experience : 5 Years Technical Skills: Experience with SQL and Pyspark. Tenure : 6 Months Functional Knowledge: Background in pharmaceutical data is beneficial. Ability to communicate with multiple stakeholders. Work collaboratively with data scientists and subject-matter experts to address data requirements. Identify and correct data inconsistencies and irregularities. Design data models and prepare data artifacts to meet business objectives. Experience developing ETL processes in high-performance environments such as Databricks and Snowflake. Fulfill customer requirements as specified by agreed service-level agreements (SLAs), utilizing structured project management approaches, including appropriate documentation and communication during service delivery. Quality Assurance: Verify that deliverables meet established standards for quality and accuracy. Ensure timely completion of projects within set deadlines. Assist in creating and maintaining standard operating procedures (SOPs). Contribute to the development and upkeep of knowledge repositories containing qualitative and quantitative reports.

Team Lead/Members with 5–8 yrs experience in SAP BW on HANA, SAC/DSP. Must know BW end-to-end, ABAP, HANA views, BEx queries, and project rollouts. Pharma domain a plus. Strong troubleshooting, UAT coordination, and cross-team liaison skills.