OVERVIEW

Association Analytics is the leading analytics solution provider in the association space. OurAnalytics Engineerswork at the intersection of business, data engineering, and product development and are the key technical staff members responsible for bringing our cloud-based analytics platform – Acumen – to life. As anAnalyticsEngineer you will beon a small team working directly with customers to translate their business needs and analytical requirements into working ETL pipelines, data models, visualizations, reports, and more. A successful Analytics Engineer can work with teams of technical and non-technical people to deliver analytical solutions that meet our customer’s business needs.

KEY AREAS OF RESPONSIBILITY

An Analytics Engineer is responsible for the technical success of their client implementation projects. As the technical backbone of a smallteam of people with diverse skillsetsyou will own the process of developing analytical products for our customers, receiving inputs and assistance from others on the team along the way.Our customers will rely on you as their technical point of contact within Association Analytics and will lean on you for supportduring their analytics journey.

You will work closely with business teams to identify client requirements, providing technical input and validation during all phases of the delivery process. Analytics Engineers are highly encouraged to initiate or contribute to technical projectsthatremove barriers to delivery, especially so if it would help other teams solve a common problem.

JOB DUTIES

• • Attend requirement gathering calls with customers alongside your team members and provide technical inputs as necessary

• • Work with data engineering staff to stand up ETL pipelines for new customers
• • Perform quality control checks and validations on ETL pipelines to ensure that key analytics are in line with customer expectations
• • Deploy, configure, and customize Power BI dashboards for customers
• • Fix data issues raised by customers and business teams, as reasonable
• • Communicate frequently with your team to manage workloads and ensure that projects are staying on schedule 

• • Develop custom SQL code in ETL pipelines to comply with customer business requirements
• • Develop tools to extract data from customer source systems to cloud storage systems such as Amazon S3
• • Develop tools to improve key processes and share those tools across the company
• • Develop high quality code that passes internal quality standards and contribute all code to our central source code repository
• • Leverage DevOps tools and practices to deliver high quality solutions, quickly and securely

• • Review proposed changes to code bases in Github as necessary
• • Actively seek out and seize on opportunities to improve processes and tools across the business
• • Assist with maintenance and operation tasks as necessary

SUCCESS FACTORS

• • Results Focused. You are driven to meet or exceed your goals and objectives on schedule andwillapply all the resources at your disposal to do so in creative ways.You canwork with a team to get stuff done even when you disagree about the best way to do it.
• • Technical Excellence. You know a lot about technology and how to make it work for you. You are continuously striving to improve your knowledge and skills. You pay close attention to detail and have a strong commitment to quality. You can decompose complex technical issues quickly under pressure with minimal help/supervision and have a good sense for when it’s time to rope in others.
• • Ownership. When you are asked to solve a problem, youinvest yourself fully in making sure it gets done right. You don’t pass problems on to others if you know you can solve them yourself.
• • Communication. You can clearly and succinctly communicate ideas and problems professionally to all levels within the organization, including executive leadership. You can build consensus in many cases and provide convincing evidence and reasoning in other cases.

• • Change Management. You understand the value in change management. You follow all established change management guidelines. You can rally your team around best practices, new processes, and new tools related to change management.
• • Flexibility. You are open to changing priorities in a fast-paced,p environment yet still able to balance compressed timelines while providing the highest levels of customer service to your internal stakeholders.
• • Organization. You can prioritize essential components of a project and let go of unnecessary work you are exposed to.

PREFERRED SKILLS AND QUALIFICATIONS

• • Bachelor's Degree in Computer Science, Mathematics, or related field

• • Experience with data warehouse technologies (preferably Amazon Redshift)
• • Experience with data modeling concepts as they apply to data warehouses
• • Ability to communicate effectively with both technical and business teams
• • Self-managing with the ability to make good decisions in the absence of complete information
• • 2 years of writing SQL queries (preferably against dimensional data models)

• • 2 years doing technical work in the data domain
• • 2 years of experience implementing ETL pipelines in an enterprise setting
• • 2 years of experience building reports, notebooks, and/or dashboards in a data visualization tool
• • Experience building project plans to identify tasks, milestones, and deliverables

Career Path

• • Junior Analytics Engineer (new grad)
• • Analytics Engineer
• • Senior Analytics Engineer
• • Lead Analytics Engineer (management path)

• • Principal Analytics Engineer (technical path)