Enterprise Analytics Manager (Marketing)

Position Type
Full Time
Location : Location

About Blackhawk Network:

At Blackhawk Network, we shape the future of global branded payments through the prepaid products, technologies and network that connect brands and people. Our collaborative innovation and scalable, security-minded solutions help our partners to increase reach, loyalty and revenue. We believe our future holds great things for Blackhawk Network and its partners. We believe that together, we can shape the future. Our beliefs? Win as one team, be innovative, global excellence and be inspiring!


So, what are you waiting for? Shape your career and join our global network.


The Blackhawk Network Global Marketing team is looking for a Data Scientist to join us in Bangalore, IN. In this role, you will deliver advanced analytics to support global marketing and revenue operations. You will work closely with a team of analysts, data scientists, data engineers, PowerBI developers and sales and marketing stakeholders to build and operationalize predictive, scalable solutions that empower marketers to optimize marketing activities and sales leaders to optimize sales performance. You will be engaged in projects that will require an array of analytical skills, including requirements gathering, data management, modelling, testing, and automation. As a Data Scientist, you will have an opportunity to use your strengths and evolve your skills to deliver solutions that support a global revenue team in generating demand and contributing to a sales pipeline. Successful applicants must reside in a state where Blackhawk Network is registered to do business.



Primary Job responsibilities

  • Partner with data scientists and business stakeholders to identify opportunities to use machine learning (ML), data mining, and statistical methods to analyze and build predictive models from large, disparate data sets.
  • Design scalable data science solutions for evolving business challenges and use cases, including: full funnel pipeline forecasting, marketing budget optimization, channel mix optimization, email strategy, customer profiles/personas
  • Manage end-to-end development, including requirements gathering, data collection, feature engineering, modelling, testing and validation, and implementation and delivery.
  • Coordinate multiple initiatives simultaneously, leading individual projects and collaborating on cross-functional team projects.
  • Work closely with data engineering teams to operationalize data science solutions through automation and continuous delivery (CD)
  • Advocate responsible use of data through delivery of validated, tested solutions.


Required skills

  • Bachelor's degree in mathematics, statistics, computer science, management information systems, or equivalent work experience; master’s degree is a plus.
  • 3+ years of experience developing data science models using data querying, transformation, and automation.
  • Solid theoretical knowledge of and applied experience with statistics and ML models and algorithms, both unsupervised and supervised.
  • Excellent programming skills in at least one modern programming language, preferably Python
  • Experience with data querying and transformation, preferably in Python, Pandas or SQL, and statistical programming skills in Python or R
  • Experience with relational database systems, e.g., MySQL, Amazon Redshift, Oracle, Big Query, etc.
  • Experience working with Marketing & Sales teams to develop and operationalize data science solutions including Pipeline Forecasting, Marketing Budget Optimization, Customer Profiling
  • Analytical mindset with a problem-solving approach
  • Ability to work in an agile environment with a focus on continuous improvement.
  • Self-motivated and eager to learn.
  • Ability to interact with business as well as technical teams.


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