Analytic Server Modeler
Circana · United States ·
- Category
- Hospitality
- Experience
- 2+ years
Circana · United States ·
Analytic Server Modeler (Multidimensional / OLAP / Automation)
Let’s be unstoppable together!
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana.
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What is the role & team:
Join our Global Professional Services team as a Data Modeler, where you will be instrumental in bridging the gap between client needs, business objectives, and cutting-edge technology solutions, particularly supporting our new Private Cloud clients.
This role is for more than just a service provider; we are seeking a consultant-minded go-getter who is client-obsessed, a liquid thinker who thrives at pace, and is bold and brave in challenging the status quo. We are a team that values being part of a successful business and building partnerships based on trust, deep knowledge, respect, and unwavering support.
We are passionate about technology, data and AI and how it can be leveraged to solve our clients' most pressing business challenges. You will be a key player in understanding our clients' world, becoming their trusted partner, and proactively identifying opportunities for innovation and efficiency. Curiosity, accountability, and a positive, questioning mindset are at the core of our team's DNA – we don't just aim to meet expectations, we strive to exceed them.
You will work collaboratively with global Circana teams, acting as the vital link to ensure seamless, unified support and strategic technological partnership for our clients.
In this role we are seeking a skilled and motivated Data Modeler to join a growing Global Team based in the UK. You will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. If you have a passion for Data Modelling and a desire to make a significant impact, we encourage you to apply!
Location
This position can be located in the following area(s): Remote
What will I be doing?
As a part of the Professional Services New Frontiers team, the Analytic Server Modeler will participate in the analysis, exploration, and analytics model development efforts for our professional services organization. You will be part of a new industry group tasked with expanding our business into new capabilities and markets.
This role will include working with clients to understand the use cases at a technical level and to translate those requirements into the development of multi-dimensional business models and analytics. Initially, the role will entail working very closely with one of the senior technical leaders and supporting existing engagements, as well as proof of concept for new clients. Ultimately, this role will transition into a leader of a self-contained team as new markets expand.
The role will work very tightly with the business teams to understand use cases and translation into the measures, dimensions and algorithms required to support those insights. This role will be responsible for documenting the required model, as well as the build, test and deployment. Initially, this role will primarily be in all areas of retail and hospitality, however, expected to expand into other industries.
Job Responsibilities
Requirements
About Us
As one of the original innovators in Big Data, CIRCANA integrates the world’s largest set of otherwise disconnected purchase, media, social, causal and loyalty data to help CPG, retail, over-the-counter health care and media companies grow their businesses. We combine this data with predictive analytics to uncover new consumer insights and integrate them on the most technologically advanced, cloud-based visualization platform. Learn more about us
What are we looking for?
We are seeking an individual who embodies the following characteristics:
Prospective candidates may be asked to consent to background checks (in accordance with local legislation and our candidate privacy notice ) Your current employer will not be contacted without your permission.
The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee’s position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $150,000 to $170,000.
This job is also eligible for bonus/incentive pay.
We offer a comprehensive package of benefits including [paid time off, medical/dental/vision insurance and 401(k)] to eligible employees.
You can apply for this role through methods such as our Careers website link and/or Intranet site for internal candidates. This role is subject to AI-assisted screening. Circana uses artificial intelligence (AI) to assess resumes for alignment with job requirements by helping locate details in resumes that relate to the job description.
This position is expected to remain open for approximately 30 days and may close earlier if sufficient qualified candidates are identified.
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