# Job Description Summary# Job Description**Summary:**We are recruiting for a highly driven and experienced **Data Analyst\- Digital Marketing** to join our newly formed eBusiness organization for BD Biosciences, reporting to the Director of eBusiness\.You will bring your expertise to bear on our data and business, building out our data analysis capabilities within the Marketing function in collaboration with other members of the team\. You will be responsible for uncovering the “why” behind the “what” we see in our customer data, and to ensure we can track the return on investment on all web, eCommerce and digital investments on our bdbiosciences\.com site\. By combining customer analytics with business insights, you will develop a deep, holistic understanding of our customers, and generate actionable insights that drive business decisions in this key channel for us\. You will be a key player in defining, generating, analyzing, interpreting and communicating the metrics which underpin our marketing objectives, focusing your efforts heavily in our eCommerce, web and other digital channels\. You'll help the marketing team make better, faster, more data\-driven decisions and develop an expert knowledge of all areas of our global marketing operation\.In this critical role, you will help identify, analyze, and interpret trends or patterns in data sets of varying size and complexity to determine the return of investment and optimization needs for eCommerce and digital channels in the context of global and regional marketing campaigns\. You will be in charge of establishing ecommerce and campaign testing methodology in collaboration with global product and campaign managers, to track and analyze results, key metrics from direct and digital marketing campaigns, and prepare post\-campaign analytics and performance reporting\.Through your analysis, you’ll help us create and optimize the marketing dashboards for on\-demand visibility of outcomes, identify the customer journey trends that will inform eCommerce and campaign design adjustments, and enable a culture of test and learn throughout the team\.**Responsibilities:**+ Help drive the definition, measurement, and tracking of the key marketing, eBusiness \(eCommerce and off\-line channels, EDI, punchout\), web, demand gen metrics and KPIs with key stakeholders in the marketing department\.+ Build a new Marketing BI capability: work with and guide the marketing leadership team to agree on clear, unambiguous KPI definitions and map the relationships between leading and lagging metrics\.+ Build, communicate, and maintain a suite of dashboards, BI applications, standardized reports, and native reporting within the Martech stack to track Marketing's key performance indicators against departmental objectives/targets\.+ Be the data steward and enforce data hygiene standards\.+ Collect and organize the information required to run campaigns from the backend/reporting KPIs view ensuring quality data, attribution, LTV, lifecycle and conversion rates\.+ Regular analysis of web, ecommerce and campaign data to identify patterns that lead to higher conversion rates, increased deal size, and shorter time to close\.+ Consolidate metrics and data from various sources into a single database for analysis along multiple vectors\. The goal being able to answer “What\-if” questions from the stakeholders\.+ Work closely with marketers to understand marketing data requirements regarding how data enters, is standardized and processed, and how it moves through our systems\.+ Create the measurement plan for data management, including database health metrics, contact acquisition strategy, and data governance and operational process while ensuring database readiness to support marketing programs\.+ Work with stakeholders across the Marketing team to enable them to self\-serve business intelligence through the BI solution as well as marketing tools like, Google Analytics, Qlik, Hootsuite, Marketo, ABM and Salesforce\.+ Leverage reporting suite and other analytics tools to support recurring marketing business reviews as well as deep\-dive ad\-hoc analyses of post\-campaign performance to put forward hypotheses and recommendations for future initiatives and programs\.+ Support end\-to\-end view of marketing performance through the creation and communication of a marketing and sales online and offline attribution model, visualization of full funnel performance, demand modeling, and lead/pipeline forecasting\.**Skills & Required Experience**+ Bachelor’s degree or higher, preferably in engineering, math, statistics, data analytics or operations research\.+ 5 \- 7 years of hands\-on experience in data management for B2B marketing, marketing & demand generation teams\.+ Experience working with business owners in defining reporting and data requirements+ Proven abilities to mine data, identify errors and bubble up insights that are actionable\.+ Thorough understanding of campaign & funnel analysis, different type of multi\-touch attribution models and pipeline contribution\.+ Strong experience with applied SQL / data querying languages, BI/visualization tools \(e\.g\. Power BI, Tableau, Qlik\), Excel, R, Python, or other analysis tools\.+ Experience working with other tools like Salesforce\.com, Marketo, Google Analytics, Hotjar, and Gainsight\.+ Strong knowledge of SQL is mandatory\.+ Experience with predictive modeling is a plus\.+ Experience with interpreting & communicating data\-driven insights\.+ Excellent communication skills and transparency at all levels\.+ Cross\-culturally aware and sensitive to working with global teams\.+ A great team player \- collaborative, detail\-oriented and organized, comfortable working in a cross\-functional and highly matrixed environment with limited resources\.# Primary Work LocationUSA CA \- San Jose# Additional Locations# Work ShiftBecton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.