Senior Analyst
Job Type
Full-time
Description

We design growth. At Hill Holliday, we are obsessed with developing great work that doesn’t just turn heads, it drives growth. To do this, we grow relevance to differentiate and stand out in-market, grow revenue by always knowing where growth will come from today and tomorrow, and grow relationships so everything works in service to customer lifetime value.


About Decision Science: Marketers are hungry for data—but almost half of marketing leaders don’t use data for decision making because of poor insight quality, speed, or immediate relevance. Our Decision Science practice was built because of this need, unifying business and marketing analytics, research, and data science capabilities into one team. The vision of the Decision Science team is to use data and technology to uncover evidence-based insights that drive better decisions, faster. As a centralized resource at Hill Holliday, this group brings data to all stages of a marketing process, working seamlessly with strategy, creative, media, and client teams to solve a variety of marketing and marketing-adjacent problems. Thus, this team is deeply involved in each stage: from assessing the business opportunity, to uncovering consumer insights that fuel our brief, to using the latest technology to inform our angles of attack in media and messaging, to deploying a comprehensive set of analytics solutions to quantify the true ROI of our efforts.


The Senior Analyst will be responsible for:

  • Understanding client business dynamics and strategy; can train junior team members on client business and marketing      objectives.
  • Builds measurement/research plan/learning agenda that clearly ladders back to business objectives and hypotheses.
  • Identify the data required to answer a question, acquire, and harmonize, re-scale, clean, and prepare data for analysis.
  • Lead junior members through exploratory data analysis; QA junior work to ensure error-free.
  • Develops actionable insights that ladder back to marketing strategies grounded in business objectives. Can author basic data storytelling that are hypothesis-led and offer prescriptive recommendations.
  • Owns key analytics activities with support from both senior and junior team members including performance analytics & reporting, managing partner/vendor supported engagements, maintaining client learning agenda and developing test plans.
  • Evolving agency and client(s) use of marketing technology including: building / evolving taxonomy, establishing platform governance and collaboration, using outputs to create new analyses, visualization and storytelling.
  • Support storytelling with data to help solve existing problems or anticipate client needs.

  

Valued Behaviors:

  • Leadership:
    • Enhanced leadership skills, expanding leadership and/or management responsibilities beyond oneself.
    • Understands the value of developing others and begins guiding and managing junior team members and providing       constructive feedback. 
    • Plays a lead role in team and client meetings.
  • Collaboration:
    • Understands team dynamics and nuances and helps drive a positive, efficient team.
    • Diplomatically manages feedback from various team members and perspectives.
    • Shares resources, clearly communicates project/work goals, and ensures team has what they need to be successful.
  • Accountability for Results:
    • Manages projects and deliverables with little oversight and knows when to escalate issues.
    • Maintains momentum on projects and deliverables when priorities change and circumstances get demanding.
    • Demonstrates ingenuity that provides new thinking and ideas for the team to deliver great work.
Requirements

Desired Experience: 

• 4-5 years of full-time experience in an advertising agency, marketing analytics, research, or marketing technology.

• Bachelor’s degree in marketing analytics or related focus.

• Mastery of Microsoft suite (e.g., data manipulation, visualization, pivot tables, basic statistics etc.)

• Experience in MS SQL or similar relational database management language.

• Experience with business intelligence and visualization packages in Microsoft PowerBI, Tableau, Looker Studio or related technologies.

Salary Description
$80,000-$100,000; commensurate with experience.