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Moore
is hiring
Data Analyst
About Our Company
Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels and devices. We are an innovation-led company of 5,000 people that is the largest marketing, data and fundraising company in North America serving the nonprofit industry with clients across education, association, political and commercial sectors.
Moore combines our strength in technology and unmatched industry expertise to provide clients with strategy, creative, production, media, data, response management and analytic services. Our omnichannel solutions are powered by an ongoing investment in next-generation artificial intelligence and machine learning that deepens constituent relationships and creates transformational growth.
Job Description & Responsibilities
Are you a predictive data analyst interested in growing with an industry leader? Are you eager to make a lasting impact by supporting some of the nation's most cherished nonprofit organizations?
If so, then check out this open role of Predictive Data Analyst at Simio Technologies, a division of Moore – the nation's leader in creating data-driven human connections.
As a Predictive Data Analyst, you'll prioritize client deliverables, collaborating with account managers to create project plans and ensuring critical deadlines are met while managing multiple projects. Your role will involve building and executing predictive models to aid nonprofits in donor attraction and retention, and expanding data products to align with client objectives, operating across diverse environments and languages. Additionally, you'll translate complex data analysis into actionable insights for non-technical stakeholders and consult with various teams including developers and non-technical partners.
To excel in this role, you should possess business acumen, hands-on experience in data modeling, proficiency in database manipulation and query languages like SQL, familiarity with tools like Alteryx and data science toolkits such as R or Python, strong project management skills, and expertise in data visualization tools like Power BI.
Your impact:
- Understand and prioritize incoming client deliverables.
- Collaborate with account managers to develop project plans for each client.
- Juggle competing projects and meet critical deadlines.
- Build and execute predictive models to help nonprofits attract and retain donors.
- Add to our suite of data products that support clients’ goals.
- Operate between various environments and across various languages.
- Translate data analysis and findings into insights and reporting for non-technical audiences.
- Consult with developers and other data people as well as non-technical partners and clients.
Requirements
Your profile:
- A degree in mathematics, statistics, economics, data science, or other related fields.
- 3+ years’ experience in a professional analytics/predictive data modeling role.
- The ability to comprehend the business applications of the data you manipulate.
- 3+ years’ experience in a business environment with an emphasis in consumer marketing.
- Previous hands-on data work in data modeling.
- Skills with database manipulation and writing query languages such as SQL.
- Experience with data tools like Alteryx.
- Experience with common data science toolkits, such as R or Python.
- Exceptional project management skills and experience.
- Experience with data visualization tools, such as Power BI.
You’ll be a top candidate if you:
- Bring a lifelong love of learning and an intense curiosity for how and why things work.
- Have exceptional multitasking skills
- Love challenging questions and see them as opportunities to learn and grow.
- Are willing to be innovative and are open to new approaches.
- Are passionate about helping to drive nonprofit missions forward.
What we offer
This full-time, salaried position is remote and open to candidates in the US who are eligible to work without current or future sponsorship. The salary range is $70,000 to $100,000 annually, depending on skills and expertise.