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Enterprise Analytics Engineer - Corporate Consultant (4474)

The Enterprise Analytics Engineer is a person with a passion for data and analysis who has significant experience architecting and utilizing data. This role on our Tech Department’s Enterprise Applications team requires strong collaboration with team members and other departments across the business. 


We’re proud to have built and continued to innovate on an industry-leading tech stack, and we are looking to better integrate those technologies into a unified analytics platform with Snowflake at its core.


Salary:

To be discussed in the interview phase


Language:

English


Key Responsibilities:
  • Drive the implementation and continuous improvement of our data connections, analytics best practices, and ETL processes.
  • Centralize the Company’s cloud data into Snowflake and facilitate modeling to support data analysis requirements from all functional groups of the company and its clients.
  • Create a common data framework and glossary so all company and client data can be analyzed in a unified manner.
  • Work with the product, operations, and executive management teams to create a data-enabled user and client roadmap that clearly defines roles and responsibilities while bringing all teams into our collaborative data programs.
  • Collaborate with Sales, Marketing and Services leadership to support our external client base needs.
  • Create and execute a plan to develop and mature our ability to measure and optimize usage growth, aligned with our user and client roadmap.
  • Ensure all transactional systems can communicate with our modern data tech stack and that production data adheres to a unified data model.
  • Collaborate with all functions of the company to address data needs and make required data  available to analysts and end-users.
  • Build a multi-modal service model that meets the non-homogeneous needs of our functional groups, from full service to self service,  across our data stack.


Skills and Experience - Who you are:
  • Bachelor’s Degree or equivalent experience in high level data and analytics architecture, engineering, and development.
  • Minimum of 8 years experience in roles involving data architecture and practical use.
  • Experience with a high growth company using on-demand (SaaS) transactional systems.
  • Hands on experience with Python, SQL and relational databases. 
  • Significant experience with Snowflake.
  • Strong knowledge and practical experience with ETL systems like Matillion.
  • Must have experience with modern analytic and data visualization tools such as Thoughtspot or Sigma.
  • Experience with one or more of CRM, ERP, HCM, GTM, and WFM analytics is highly desirable.
  • Share and work in accordance with our values.
  • Must be able to work in alignment with America’s time zones.
  • Excellent time management and organizational skills.
  • A real “MacGyver” when looking at solutions; truly understanding how out of the box thinking can deliver spectacular results with the incredibly flexible systems and processes we have in place.
  • Strong sense of personal accountability and the ability to work independently.
  • Ability to communicate expertly with and influence clients, colleagues, direct reports, and cross-functional stakeholders while working collaboratively.
  • High EQ and a sense of humor are required.


What’s in it for you:
  • Work with an extremely talented team of colleagues serving a highly visible group of clients
  • A company culture that values exceptional performance and people skills
  • Being part of an award-winning growth company scaling across the globe
  • The flexibility of working from home with competitive salary plus benefits


About ModSquad:

ModSquad has been reinventing the Customer Experience Services industry since 2007.  Top brands around the globe turn to us for customer support, content moderation, trust and safety, community management, and social media services. We work with startups and Fortune 500 companies and everything in between.  Our client list includes Spotify, VSCO, Vimeo, Tourism Ireland, and a ton of other companies we aren’t at liberty to talk about. We support over 50 languages in more than 90 countries. We’re primarily a remote company so you’ve already seen our/your office.  If you want to work with great people on cool projects for amazing brands, you’ve come to the right place.


ModSquad is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), gender, national origin, ancestry, age, physical or mental disability, military status, status as a veteran or disabled veteran, sexual orientation, gender identity or expression, marital or family status, genetic information, medical condition, or any other basis protected by applicable federal, state, or local law, ordinance, or regulation.


Individual base pay or rate depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job or contract duties/requirements, and relevant experience and skills. Although we have opportunities across the globe, this advertisement, unless otherwise specified, excludes individuals residing in California, Colorado, New York, and Washington at this time.

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What You Should Know About Enterprise Analytics Engineer - Corporate Consultant (4474), ModSquad

As an Enterprise Analytics Engineer - Corporate Consultant at ModSquad, you'll be at the forefront of data innovation within our Tech Department’s Enterprise Applications team. If you have a passion for data and possess significant experience in architecting and utilizing data, this might be the perfect opportunity for you. You will be primarily focused on driving the implementation and enhancement of our data connections and ETL processes, with a special emphasis on centralizing our cloud data into Snowflake. You'll collaborate across various teams including product, operations, and executive management to develop a robust data-enabled user and client roadmap. Your contributions will help create a unified analytics platform, ensuring that all transactional systems can communicate effectively with our modern data tech stack. We’re looking for someone who not only brings in-depth technical skills, including hands-on experience with Python and SQL, but also excels in turning complex data needs into simple solutions, keeping a sense of humor in the process. With an outstanding company culture that values exceptional performance and people skills, you’ll be working with a talented team of colleagues, gaining exposure to an array of impressive clients while enjoying the flexibility of working remotely. If you’re eager to make an impact and grow alongside a dynamic company, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Enterprise Analytics Engineer - Corporate Consultant (4474) Role at ModSquad
What are the primary responsibilities of the Enterprise Analytics Engineer - Corporate Consultant at ModSquad?

The primary responsibilities include driving the implementation and continuous improvement of data connections, centralizing the Company's cloud data into Snowflake, creating a common data framework, collaborating across teams to define roles in data programs, and ensuring that all transactional systems are compatible with our modern data tech stack.

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What qualifications and experience are required for the Enterprise Analytics Engineer position at ModSquad?

Candidates should have a Bachelor’s Degree or equivalent experience in high level data architecture and analytics, along with a minimum of 8 years in relevant roles. Practical experience with tools such as Snowflake is essential, as well as strong skills in Python, SQL, and a proven background in ETL systems like Matillion.

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How does the Enterprise Analytics Engineer role fit into ModSquad's culture?

At ModSquad, the Enterprise Analytics Engineer is expected to embody our company values, being accountable, collaborative, and innovative. We prioritize a high EQ and a sense of humor, fostering a culture where exceptional performance and interpersonal skills are celebrated.

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What tools and technologies are essential for the Enterprise Analytics Engineer - Corporate Consultant role?

Essential tools and technologies for this position include Snowflake for data warehousing, Python and SQL for data manipulation, and ETL tools such as Matillion. Familiarity with visual analytics tools like Thoughtspot or Sigma is also desirable for effectively analyzing and presenting data.

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What kind of team will the Enterprise Analytics Engineer work with at ModSquad?

The Enterprise Analytics Engineer will collaborate with various teams such as Sales, Marketing, Operations, and Executive Management. Close teamwork is emphasized to ensure data needs are met and to drive forward data-enabled user and client roadmaps.

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Common Interview Questions for Enterprise Analytics Engineer - Corporate Consultant (4474)
Can you describe a project where you centralized data into Snowflake?

In answering this question, detail the steps you took to migrate data into Snowflake, highlight any challenges faced, and explain how you ensured data integrity and accessibility throughout the process.

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How do you handle ETL processes and which tools do you prefer to use?

Share your preferred ETL tools like Matillion, and discuss your ETL process, emphasizing your ability to improve and streamline data workflows, along with any specific experiences that highlight your approach.

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What approaches do you use to communicate complex data findings to non-technical stakeholders?

Explain your strategy for simplifying complex data insights, perhaps by using visual aids, storytelling techniques, or providing context that aligns with business objectives to ensure understanding.

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Describe your experience with Python in data analytics.

You should focus on specific projects where you utilized Python for data analysis, mentioning libraries you used, the types of data you worked with, and any outcomes or insights you derived from your work.

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What are some best practices you follow for data modeling?

Discuss your systematic approach to data modeling, including key principles such as normalization, maintaining a common data dictionary, and ensuring scalability and performance of the models.

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How do you prioritize tasks when multiple teams need data insights simultaneously?

Detail your approach to prioritization, emphasizing your communication skills to assess urgency and importance, and how you balance the needs of different teams while ensuring quality.

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Share an experience where your innovation significantly improved a process.

Provide a specific example of an innovative solution you implemented. Discuss the problem, the solution, the impact of your innovation, and how it was received by stakeholders.

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How do you ensure adherence to data governance and compliance?

Explain your understanding of data governance practices, including monitoring data access, maintaining data privacy, and ensuring compliance with regulations such as GDPR as part of your data operations.

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In your opinion, what is the future of data analytics?

Discuss trends you see in data analytics such as predictive analytics, machine learning integration, or the rise of self-service data tools, and explain how you keep yourself updated on industry developments.

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What motivates you to work in data analytics?

Share your personal motivation for pursuing a career in data analytics, reflecting on what aspects particularly excite you about working with data, solving business problems, and contributing to critical business insights.

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ModSquad is a global digital company offering engagement services based in America and currently has over 10,000 moderators in its network.

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CULTURE VALUES
Customer-Centric
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DATE POSTED
January 10, 2025

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