Agency PurposeWe are a dynamic and innovative marketing and advertising agency, committed to delivering exceptional client results. Our purpose is to discover and unleash the untapped potential in our world with our SMARTS and HEARTS.

• LISTEN. Before anything else, we seek to understand.
• PROVOKE. Proactively question assumptions.
• SIMPLIFY. Strive to take the complex and make it simple.
• PERSEVERE. Expect obstacles. Overcome them and keep going.
• BELIEVE. Trust that, together, we can do anything.
• LOVE. Love what we do, respect, and lift each other up.

Purpose

The Data Analyst transforms data into insights that drive business value. This position blends hard skills like programming, data modeling and statistics with soft skills like communication, analytical thinking and problem-solving. Through use of data analytics, data visualization and data modeling techniques and technologies, the Data Analyst will identify trends that can help other departments, managers and executives make business decisions to modernize and improve processes in the organization as well as help us tell stories through the results of our many marketing campaigns.

Responsibilities

• Discover trends across marketing campaigns and identify where improvements can be made to save the client money or increase profits. 
• Mine complex data using BI software and tools, comparing data to competitors and industry trends and create visualizations that communicate findings to others in our company and/or the clients
• Oversee the deployment of data to the data warehouse.
• Develop policies and procedures for the collection and analysis of data.
• Create or discover new data procurement and processing programs.
• Work with IT representatives to deploy software and hardware upgrades that make it possible to leverage big data use cases.
• Review and validate influencer marketing and social media data as it’s collected.
• Monitor analytics and metrics results.
• Implement new data analysis methodologies.
• Review client files to ensure integrity of data collection and utilization.
• Perform data profiling to identify and understand anomalies.
• Create and present reports on data trends as requested.
• Further establish benchmarks for industry and client programs.

Competencies

• Problem Solving. Always curious and uses rigorous logic and methods to solve difficult problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn’t stop at the first answers.
• Functional/Technical Skills. Has the functional and technical knowledge and skills to do the job at a high level of accomplishment.
• Decision Quality. Makes good data driven decisions; most of their solutions and suggestions turn out to be correct and accurate when judged over time; sought out by others for advice and solutions.
• Learning on the Fly. Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.

Professional Skills & Knowledge

• Strong skill set in data analysis and mathematics with advanced knowledge of Microsoft Excel. Understanding of common programming concepts. Basic comprehension of computer science. Strong quantitative skills and the ability to draw insights from extremely large datasets. Excellent problem-solving skills with ability to prioritize and triage workflow. Ability to collaborate cross-functionally and thrive in a team-oriented fast-paced deadline driven environment.
• A deep interest in data/analytics
• Comfortable and excited in working in ambiguity.
• Ability to learn and explore new and unfamiliar tools proactively.
• Attention to detail and a strong eye for quality assurance
• Excellent time management skills and ability to prioritize multiple competing projects

Technical Skills

• Mastery of Google Sheets and other capabilities within the Google Suite (Slides, Docs, and Gmail)
• Advanced Microsoft Excel Proficiency (Vlookup, Sumif, etc)
• Basic data modeling proficiency (Basic Joins, best practices)
• Statistical knowledge
• Basic stats required
• Experimental knowledge (basic)

Experience

Proven organizational skills and critical thinking skills; both strategic and analytical. Experience with databases (SQL, Hadoop, Spark), programming for analytics (Python or R), and exposure to cloud computing (AWS, Azure or Google Cloud). Nice to have programmatic media buying experience. Prior experience with digital ad ops is a plus. Hands-on experience with self-service demand side platforms (DSPs) and data management platforms (DMPs).

Education & Training

A Bachelor’s degree is not required but an interest in statistics, economics, finance, computer science, mathematics or engineering is encouraged. Graduate degrees in a quantitative field are a potential bonus.
Salary Range

Our estimated range for this role is $75 - $90k. Compensation packages are based on the skill level and experience each candidate brings to their role.
There may also be a more senior or junior position available that could be a better fit with your expertise. Each level has its own compensation range.

We pride ourselves on competitive salaries, and ensuring pay equity exists across our organization. We benchmark each position against existing employee competencies and 4As compensation data which includes geographic and agency size benchmarks. We also meet with department leaders 3x/year to ensure we are supporting employees in living into their full potential. Our promotions are not limited to a specific time per year. Promotions are tied to performance.

Right To Work In The US

You must be authorized to work in the US for any employer. At this time, we are not sponsoring or providing assistance with obtaining work authorization. McKinney is a place where everyone can grow. Studies have shown that marginalized communities such as women, LGBTQ and people of color are less likely to apply to jobs unless they meet every single qualification. However you identify, and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.

We are in the office Tuesday/Wednesday/Thursday on a hybrid schedule. We look forward to meeting you!