We’re Precision Strategies – an integrated strategy and marketing agency working with companies, causes, and candidates that change people’s minds and move them to action. We’ve won presidential elections, defined Fortune 50 brands, shaped public opinion, and created movements from the ground up. Don’t just break through. Break new ground.
Precision is committed to building a diverse team that will positively and authentically impact the communities we serve. Centering our strategies around the authentic voices and cultures of the communities we are engaging with is paramount to our work – and our work can only be as inclusive as our team is representative. We strongly encourage women, Black, Latino, Hispanic, AANHPI, Indigenous peoples, plus LGBTQ+, gender expansive or GNC folks, people of all ages, disabled people, and veterans to apply.
We are looking for an Analytics Engineer to supplement our expanding analytics team. You will be responsible for developing new data pipelines and optimizing current ones that extract, transform, and load social and marketing data from various sources. The analytics team and numerous client stakeholders will use the data you supply. This role will provide you with a great chance to own and steer the development of our data processes and workflow. You must also be a proactive problem solver in this role, anticipating use cases and deepening your expertise in our data stack and marketing data. We are looking for someone who thrives in a fast-paced environment, wants to work in a team-oriented environment, and is inclined to seek out challenges and opportunities. We have a preference for this role to be based in our Washington, DC office, but open applicants based in New York.
What You Will Be Doing:
- Data warehousing, managing workflow management systems, and building data pipelines
- Demonstrating proficiency in Python scripting and SQL
- Delivering pipelines to analytics and data visualization applications or components
- Creating ETL solutions, encompassing data analysis, compilation, cleansing, interpretation, joining, and staging
- Adeptly in using technology to manipulate and wrangle data
- Reverse engineering requirements from current data sources and applications, or facilitating user requirement gathering to inform design
- Using digital marketing, social media, advertising technology, and site analytics tools such as Google Analytics, Google Marketing Platform, and Google Ad Manager
- Performing data extraction and transformation from CRM platforms
- Perform engineering in cloud services like AWS, Azure, and Google Cloud
- Leveraging APIs to retrieve data
What We Are Looking For:
- 5+ years using ETL best practices and principles
- Experience in creating API calls to retrieve data; proficiency with social media, websites, and/or marketing platforms is a benefit
- Knowledge of the ecology of digital media
- Familiarity with cloud services like AWS, Azure, and Google Cloud
- Capacity to lead projects ahead on their own and oversee several deliverables and deadlines at once
- Excellent communication, interpersonal, and presentation abilities
- Must be able to convey data concepts to people from a variety of backgrounds
- Demonstrated capacity to work with important partners and stakeholders to establish requirements, set measurements, and find solutions to issues
- Willingness and desire to guide and train junior staff
Nice to Haves:
- Experience guiding junior talent
- Experience with voter file databases
What We Will Give You:
- Competitive salaries
- Annual bonus opportunity
- New business bonuses
- Flexible hybrid remote/in-office plan
- Retirement plan with automatic 3% safe-harbor contribution from Precision
- Healthcare coverage – medical, dental and vision, with 90% of costs covered by Precision
- Paid vacation and sick leave
- Paid parental leave
- Professional development stipend
The salary range for this role is $85,000-135,000.
Due to the pandemic, we required all employees to be vaccinated against COVID-19. We are currently working in a hybrid model and require staff to work in the office 50% of working days in the month.