AbbVie
Lead Business Intelligence and Analytics Solution Engineer, Remote
AbbVie, Chicago, Illinois, United States, 60290
Lead Business Intelligence and Analytics Solution Engineer, Remote
Join to apply for the
Lead Business Intelligence and Analytics Solution Engineer, Remote
role at
AbbVie This range is provided by AbbVie. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$106,500.00/yr - $202,500.00/yr Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. Job Description
Come to work each day with an inclusive and collaborative business technology team. As a Senior Business Intelligence and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. Responsibilities
Foster strong relationships with key business stakeholders and clients with strong interpersonal communication and able to work with business and cross-functional teams to deliver and execute complex analytics projects. A successful candidate will bring analytics knowledge of best-in-class business intelligence practices, deep understanding of Data Modeling, Dimensional Modeling and Data warehouse Help business stakeholders by providing actionable data insights, discovering trends and patterns, anomalies, outliers, and correlations to drive better business decisions Design/Develop impactful and intuitive data visualizations to effectively communicate data findings Develop mockups based on business requirements and curate data to scope out reporting needs Strong knowledge of creating semantic models (involving complex logical attributes and KPI measures) adhering to metric governance standards. Establish and follow BI and Analytics best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance. Serve as internal SME on BI platform and drive the self-service COE with office hours training. Establish data and metric governance around the curated datasets and metrics, and best practices Conceive, design, engineer, and implement technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise Demonstrate high proficiency across a wide range of technologies and platforms related to design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments As lead engineer, mentor and guide junior resources in architecting BI solutions and manage and prioritize multiple projects to meet priorities with efficient time management Perform requirement lifecycle management, epic and story creation (Jira/Confluence), change management, functional testing, coordinating user acceptance testing and training Tools and skills you will use in this role:
Advanced SQL BI and Data Visualization and Data Discovery tools like Power BI, Tableau Data Prep tools like Dataiku or similar tools like Alteryx, Tableau Data Prep Python, or R Cloud data warehouse Snowflake JIRA, Confluence and Agile project methodology Qualifications
Required: Bachelor’s degree in computer science or related field with 7 years of relevant experience or master’s degree with 6 years of relevant experience; PhD with 2 years experience 5+ years of experience in BI and Analytics Architecture, Dimensional Modeling, Data Products, Data Visualization, Data discovery, building curated data sets, insight generation and advanced analytics 5+ years of hands-on working experience in writing complex SQL 5 + years of hands-on experience with BI and Data Visualization tools like Power BI, Tableau 3+ years of hands-on experience in Snowflake (stored procs, dynamic tables) 3+ years of hands-on experience with Data Prep tools like Dataiku, dbt or Alteryx 3+ years of hands-on experience in CI/CD (dbt, azure repo, git) 3+ years of experience in Python Experience in requirements gathering, functional/technical documentation, stakeholder engagement, running user training sessions and building a power user business community. Able to work with business and cross-functional teams to deliver and execute complex analytics projects. Highly autonomous and productive in accomplishing the deliverables with minimal direction Preferred: Experience with Life Sciences Commercial Pharma including insights into Sales Operations, marketing Consulting experience in Business Intelligence and Analytics domain AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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Join to apply for the
Lead Business Intelligence and Analytics Solution Engineer, Remote
role at
AbbVie This range is provided by AbbVie. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$106,500.00/yr - $202,500.00/yr Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. Job Description
Come to work each day with an inclusive and collaborative business technology team. As a Senior Business Intelligence and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. Responsibilities
Foster strong relationships with key business stakeholders and clients with strong interpersonal communication and able to work with business and cross-functional teams to deliver and execute complex analytics projects. A successful candidate will bring analytics knowledge of best-in-class business intelligence practices, deep understanding of Data Modeling, Dimensional Modeling and Data warehouse Help business stakeholders by providing actionable data insights, discovering trends and patterns, anomalies, outliers, and correlations to drive better business decisions Design/Develop impactful and intuitive data visualizations to effectively communicate data findings Develop mockups based on business requirements and curate data to scope out reporting needs Strong knowledge of creating semantic models (involving complex logical attributes and KPI measures) adhering to metric governance standards. Establish and follow BI and Analytics best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance. Serve as internal SME on BI platform and drive the self-service COE with office hours training. Establish data and metric governance around the curated datasets and metrics, and best practices Conceive, design, engineer, and implement technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise Demonstrate high proficiency across a wide range of technologies and platforms related to design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments As lead engineer, mentor and guide junior resources in architecting BI solutions and manage and prioritize multiple projects to meet priorities with efficient time management Perform requirement lifecycle management, epic and story creation (Jira/Confluence), change management, functional testing, coordinating user acceptance testing and training Tools and skills you will use in this role:
Advanced SQL BI and Data Visualization and Data Discovery tools like Power BI, Tableau Data Prep tools like Dataiku or similar tools like Alteryx, Tableau Data Prep Python, or R Cloud data warehouse Snowflake JIRA, Confluence and Agile project methodology Qualifications
Required: Bachelor’s degree in computer science or related field with 7 years of relevant experience or master’s degree with 6 years of relevant experience; PhD with 2 years experience 5+ years of experience in BI and Analytics Architecture, Dimensional Modeling, Data Products, Data Visualization, Data discovery, building curated data sets, insight generation and advanced analytics 5+ years of hands-on working experience in writing complex SQL 5 + years of hands-on experience with BI and Data Visualization tools like Power BI, Tableau 3+ years of hands-on experience in Snowflake (stored procs, dynamic tables) 3+ years of hands-on experience with Data Prep tools like Dataiku, dbt or Alteryx 3+ years of hands-on experience in CI/CD (dbt, azure repo, git) 3+ years of experience in Python Experience in requirements gathering, functional/technical documentation, stakeholder engagement, running user training sessions and building a power user business community. Able to work with business and cross-functional teams to deliver and execute complex analytics projects. Highly autonomous and productive in accomplishing the deliverables with minimal direction Preferred: Experience with Life Sciences Commercial Pharma including insights into Sales Operations, marketing Consulting experience in Business Intelligence and Analytics domain AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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