Who We Are:

AKDM is a leader in delivering digital growth strategies guided by data, analytics, and business intelligence. We work with a range of clients — spanning niche players to industry leaders across e-commerce, financial services, travel, entertainment, and consumer packaged goods.

Inclusivity for our teams is a priority. From DEI training to volunteering, we are on a journey to connect our business goals with values by promoting a culture of equity and access. We are actively seeking candidates that bring diverse perspectives to our team and work with us to build better, more inclusive approaches to work and collaboration.

About the Role:

As an Analytics Engineer, you will be on a mission to help develop a single unified view of AKDM’s data and speed up the cycle of insight. With a broad knowledge of the digital marketing analytics space from current industry trends to technical platform expertise, you will provide the opportunity for deeper client experiences and improving AKDM’s organizational growth. You will work with your counterparts across the Media, SEO, S&I, BI, Finance, and Customer Success teams to empower AKDM’s clients with a data-driven culture of measurement.

This role would collaborate with data engineers to automate reporting systems and with solution engineers to deploy reusable data structures. The ideal candidate would be highly adaptable to new areas of domain knowledge and would apply thought beyond technical requirements into business use cases and analysis.

The salary range for the Data Analytics Engineer position is between $100,000 and $110,000. The actual annual salary is dependent upon many factors, such as the individual's experience, knowledge, skills, and qualifications.

Responsibilities:

• Take charge of the OAuth and API work to integrate various third party data sources in various formats.
• Build the infrastructure for optimal extraction, transformation and loading data from a wide variety of data sources using big data technologies.
• You’ll collaborate with agency counterparts to define metrics for web, marketing, app, and operational-related initiatives; you'll work with the data engineer in modeling and maintaining KPIs.
• You’ll own the development of metrics, data models and the underlying ETL/ELT pipeline that powers the dashboards and reporting designed by our agency counterparts, which in turn supports strategic decision-making by leadership.
• Work with the data engineer to automate, design, build, deploy, and optimize the data architecture and estimated time to launch pipelines to make accessible for end users that enable self-service consumption.
• You’ll act as both the technical and business expert to help streamline decision-making between our data engineering team, and core business services, including media, SEO and business intelligence.
• You’ll identify and debug issues with core metrics, and coordinate with fellow Analytics team members and stakeholders to utilize one source-of-truth.
• Develop and communicate strong opinions about best practices in Analytics Engineering.
• Strong drive to organize and document data and best practice in a reproducible manner.
• Develop batch audits of data ingestion, data pipeline, and data resource systems for availability, maintenance, reusability, performance, scalability, security, standardization, etc. to refine the end-to-end architecture.

Competencies:

• 2+ years experience working in analytical capacity modeling and/or interpreting data (i.e., data analyst, data science, data engineer, consultant).
• Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands-on job experience with data science or analytics.
• Experience using data integration software such as Adverity, Fivetran or Stitch.
• Experience communicating with third party endpoints for data extraction.
• Highly skilled at writing and interpreting complex SQL queries.
• Experience with modern data stacks (Big Query, Microsoft SQL Server, Google Cloud Functions, ETL tools such as Airflow, dbt, etc).
• Working knowledge of a scripting language for data processing (e.g. Python).
• Ability to precisely and effectively communicate technical challenges and limitations, and the results of your analyses directly to both technical and non-technical stakeholders.
• Underlying understanding of databases and data structures
• Possess an intuition for understanding underlying business needs and a knack for dealing with ambiguity.

Nice to Haves:

• Experience building dashboards with a data visualization tools (e.g. Tableau, Looker)
• Experience working with marketing (Google Ads, Facebook Ads, etc) platforms and data, or have worked on measuring sales performance indicators.
• Prior experience in Marketing Focused Roles, Analytics Consulting, or a Growth Stage company
• Ready to be part of a tight-knit, growing team; ambitious, can work independently as well as collaboratively and possess interpersonal skills

What We Provide:

• 100% Health, Dental, and Vision Coverage: We pay the monthly premium for all employees and cover 70% for spouses, partner, and dependents
• 3% Non-Elective 401k Match: We contribute to your retirement even if you choose not to
• Unlimited Vacation. On average, AKDM employees take 20+ days of vacation and we encourage each other to take time off as needed
• Unlimited Sick Days: We want our team to stay healthy and stay home when they need to
• Holidays: We observe all major holidays and encourage our employees to celebrate their cultural and ethnic traditions without having to take PTO
• Paid Parental Leave: We provide 12 weeks paid leave for primary and secondary caregivers plus flexibility in case more time is needed
• Mentorship Program: Mentees receive one-on-one support from the leadership team to receive practical advice and guidance in developing future career goals
• Flexible work from home policy

What We Value:

At AKDM we believe diversity is essential to crafting digital strategies. We're proud to be an equal opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of race, gender, ethnicity, citizenship, national origin of employees, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.