Careers

Sitewise Analytics

Grow your career the wise way

Predictive Analytics team supporting clients
Sitewise Analytics Career People collaborating in a meeting with an overlay of data information
Sitewise Analytics Careers - people standing and collaborating in a team meeting.

Be seen. Be heard. Belong

At Sitewise Analytics, we know that our product and professional services are only as good as the people behind them.

 

Our promise

Our promise is...

we truly care. Our company is big enough to offer long-term career paths, but small enough that you’re not just a number to us.

From day one, we listen to you and trust you as a key contributor to our shared success.

Drive Change

We get what it's like to discover something great

That’s why we encourage and support our employees to drive new products, processes and services. If you’re onto something great, we’ll do everything we can to help you get involved and implement change.

Flex Your Skills

Join a team of agile and creative thinkers

We celebrate the innovators on our team – after all, these are the people who are constantly coming up with new ways to help our clients leverage cutting-edge market planning data and technology.

Make a Difference

Get the chance to make a real impact

Every day you’ll be in the mix with leadership, colleagues and clients, helping deliver actionable location intelligence that achieves strategic objectives for brands big and small.

Our teams

Our teams make us great

and you could too.

If that sounds good to you, maybe you should join us! But which team is the right fit for you?

Client Services

Sitewise Analytics - Client Support - Team members working together to solve client problems.

Predictive Analytics

Predictive Analytics - aerial street view overlayed with analytic data points

Development

Data

Our Opportunities

Our opportunities are...

limitless – just like what we can do together.

We’re always looking for good people to join our team. Check out our open job opportunities, polish off your resume and grow your career the wise way.

WHO YOU ARE:
  • A confident communicator. You’re comfortable working with decision-makers at our clients’ companies.
  • A bit obsessed with data and tech. You’ll use a dynamic mix of machine learning approaches, classical statistics techniques, and spatial analytics in this role.
  • A quick study. You’ll use our proprietary mappping analytics platform and modeling process to help clients succeed.
  • A seasoned detective. You’re proactive and curious, asking the questions that drive to the heart of client needs.
  • A good listener. You quickly pick up on what’s said and can read between the lines of clients’ unstated requirements
  • A team player. You’ll tackle your workload to deliver positive contributions to the larger group.
  • A creative thinker. If a problem doesn’t have an obvious solution, you think outside the box to deliver an action plan.
  • A lifelong learner. You lead with humility, respecting and learning from the perspectives of others.
  • An enthusiast. You’re excited to join a growing, owner-operated organization.
WHAT YOU’LL DO:
  • Report to Director of Predictive Analytics.
  • Leverage machine learning, statistics, and spatial analytics to develop models and provide strategic advice.
  • Build statistically sound and explainable sales forecasting models.
  • Manage multiple projects ensuring attention is paid to every detail while adhering to clients’ big picture strategic goals.
  • Foster open communication and client trust with consistency and on-time delivery.
  • Adhere to Sitewise Analytics’ internal best practice standards.
  • Assist clients in the post-implementation phase, providing on-going guidance and support.
MUST HAVES
  • A minimum of three (3) years’ relevant business experience.
  • A completed master-level degree in a relevant discipline such as econometrics or data analytics.
  • A proven track record of analytical and technical skills.
  • An ability to manage and deliver multiple projects on time and within scope.
  • An ability to work independently and with minimal supervision.
NICE TO HAVES
  • Experience in machine learning algorithms (KNN, Random Forest, K-Means Clustering).
  • Working knowledge of Alteryx and Python/R.
  • Exposure to market research and retail analytics.
APPLY TODAY!

WHO YOU ARE:

  • A confident communicator. You’re comfortable working with decision-makers at our clients’ companies.
  • A bit obsessed with data and tech. You’ll use a dynamic mix of machine learning approaches, classical statistics techniques, and spatial analytics in this role.
  • A quick study. You’ll use our proprietary mappping analytics platform and modeling process to help clients succeed.
  • A seasoned detective. You’re proactive and curious, asking the questions that drive to the heart of client needs.
  • A good listener. You quickly pick up on what’s said and can read between the lines of clients’ unstated requirements
  • A team player. You’ll tackle your workload to deliver positive contributions to the larger group.
  • A creative thinker. If a problem doesn’t have an obvious solution, you think outside the box to deliver an action plan.
  • A lifelong learner. You lead with humility, respecting and learning from the perspectives of others.
  • An enthusiast. You’re excited to join a growing, owner-operated organization.

WHAT YOU’LL DO:

  • Report to Director of Predictive Analytics.
  • Leverage machine learning, statistics, and spatial analytics to develop models and provide strategic advice.
  • Build statistically sound and explainable sales forecasting models.
  • Manage multiple projects ensuring attention is paid to every detail while adhering to clients’ big picture strategic goals.
  • Foster open communication and client trust with consistency and on-time delivery.
  • Adhere to Sitewise Analytics’ internal best practice standards.
  • Assist clients in the post-implementation phase, providing on-going guidance and support.

MUST HAVES

  • A minimum of two (2) years’ relevant business experience.
  • A completed master-level degree in a relevant discipline such as econometrics or data analytics.
  • A proven track record of analytical and technical skills.
  • An ability to manage and deliver multiple projects on time and within scope.
  • An ability to work independently and with minimal supervision.

NICE TO HAVES

  • Experience in machine learning algorithms (KNN, Random Forest, K-Means Clustering).
  • Working knowledge of Alteryx and Python/R.
  • Exposure to market research and retail analytics.

APPLY TODAY!

WHO YOU ARE:

  • You’re curious. Always learning and seeking ways to make things better.
  • Determined to succeed, you are motivated by the success of customers, colleagues, and your community.
  • You have a passion for data and leveraging applications to help solve client problems.
  • You lead with humility, respecting and learning from the perspectives of others.
  • Excited to join a growing, owner operated organization.
  • Bachelor’s level or higher graduate with 4 to 10 years of relevant work experience.

WHAT YOU’LL DO:

  • Leverage technology, GIS tools and a wide range of data to solve complex business challenges.
  • Partner with clients to identify key business goals and objectives to align custom solutions with client’s desired outcomes.
  • Develop strong and trusted relationships with clients throughout our client lifecycle, from implementation to on-going professional services, support, training, and troubleshooting.
  • Drive adoption and implementation rollout with a process and outcome-oriented approach.
  • Perform Sitewise platform configuration, account maintenance and pre-launch quality assurance testing.

MUST HAVES

  • Strong, proven analytical and technical skills.
  • An ability to effectively manage and execute competing projects on time.
  • Proven project management skills.
  • Experience working with databases.
  • Comfortable working with Microsoft Excel.
  • Genuine interest in client services and working directly with clients.

NICE TO HAVES

  • Proven project implementation experience in SaaS, IT, or consulting-related functions.
  • Exposure to Geographic Information Systems (MapInfo/ArcGIS) and ETL tools (FME/Alteryx), and/or Tableau.
  • Experience in, and/or exposure to, market research, retail analytics and data science modeling.

WHO YOU ARE:

  • You’re curious. Always learning and seeking ways to make things better.
  • Determined to succeed, you are motivated by the success of customers, colleagues, and your community.
  • You have a passion for data and leveraging applications to help solve client problems.
  • You lead with humility, respecting and learning from the perspectives of others.
  • Excited to join a growing, owner operated organization.
  • Bachelor’s level or higher graduate with minimum 1 to 4 years of relevant work experience.

WHAT YOU’LL DO:

  • Leverage technology, GIS tools and a wide range of data to solve complex business challenges.
  • Perform Sitewise platform configuration, account maintenance and pre-launch quality assurance testing.
  • Develop strong and trusted relationships with clients throughout our client lifecycle, from implementation to on-going professional services, support, training, and troubleshooting.
  • Drive adoption and implementation rollout with a process and outcome-oriented approach.

MUST HAVES

  • An ability to effectively manage and execute competing projects on time.
  • Strong, proven analytical and technical skills.
  • Experience working with databases.
  • Comfortable working with Microsoft Excel.
  • Genuine interest in client services and working directly with clients.

NICE TO HAVES

  • Proven project management skills.
  • Proven project implementation experience in SaaS, IT, or consulting-related functions.
  • Exposure to Geographic Information Systems (MapInfo/ArcGIS) and ETL tools (FME/Alteryx), and/or Tableau.
  • Experience in, and/or exposure to, market research, retail analytics and data science modeling.

Almost ready to join
Team Sitewise?

If you’re excited to grow your career the wise way, but still have some questions – reach out to us!

We’re happy to answer your questions.

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