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Analytics Engineer Job Opening In – Now Hiring Schlesinger Group


Job description

SAGO is a global leader in market research and data solutions, committed to connecting human answers to business questions.

The world is transforming, and SAGO is continuously reaching new heights, redefining our solutions beyond our clients' wildest expectations, and making it smarter, faster, and easier to gain insights that matter.



We're a team of innovators, strategists, and problem-solvers, passionate and inspired thinkers, who celebrate our wins.

Vibrant Leaders who empower our colleagues and innovate the Market Research industry.

Curious learners, constantly finding new ways to transform.

Bold thinkers and Authentic team members who show up to work every day being ourselves, never afraid of new ideas or opinions, because we believe they matter.

We are looking for an Analytics Engineer to join our internal Data & Analytics team at Sago – a leader in executing marketing research projects.

In this role, you will collaborate closely with stakeholders across the organization to translate business needs into data solutions.

You’ll help build and support reporting workflows, improve data processes, and make our internal analytics tools more efficient and reliable.

This is an ideal role for someone who is a few years into their data career and eager to grow in a hands-on environment.

If you have a strong foundation in Excel, SQL, and Python, and a passion for making data more accessible and impactful, we’d love to meet you.


Key Responsibilities

+ Partner with internal stakeholders to gather requirements and translate them into repeatable, stable analytics solutions


+ Maintain, update, and build SQL-based datasets and dashboards in collaboration with other data team members


+ Assist in automating data cleaning, transformation, and Excel-based workflows using Python and other tools


+ Support and troubleshoot stakeholder issues related to existing datasets in our data lake and data platforms


+ Document data definitions, reporting logic, and analytics processes clearly and consistently


+ Identify opportunities to streamline or improve existing, manual analytics tasks


+ After an initial onboarding period, independently own analytics projects from request to delivery

Requirements

+ 2-3 years professional, on-the-job experience working with data (as an analyst, engineer, etc…) and stakeholder requests.




+ Intermediate proficiency in SQL


+ Beginner to intermediate proficiency in Python


+ Strong power query and excel skills (pivot tables, complex formulas, data validation, automation, etc..)


+ Fluent/native English communication skills (written & verbal); must be comfortable speaking with non-technical stakeholders


+ Comfortable working with structured and semi-structured data from a variety of sources


+ Familiarity with notebook-based environments such as Jupyter, Hex, or SageMaker


+ Experience with business intelligence tools like Superset, Power BI, Tableau, etc…


+ Basic understanding of Data Governance and Data Modeling concepts and best practices


+ Comfortable learning new tools and platforms used for data modeling, reporting and orchestration


+ Passion for improving and automating business and analytics processes


+ A degree is not required – we welcome candidates with certifications or bootcamp training in data, analytics, or engineering (or equivalent on-the-job experience)

Nice-to-Haves

+ Exposure to orchestration tools like Airflow


+ Knowledge of Data Lake/Lakehouse architectures


+ Familiarity with columnar data storage like Parquet, Delta Lake, Iceberg, etc…


+ Understanding of Git and version control best practices

Why Join Us?



+ Opportunity to grow into a more senior data engineering or analytics role with mentorship and additional training


+ Supportive team culture that values curiosity and continuous learning


+ A chance to flex your creativity with POC (proof-of-concept) projects that often require inventive problem solving to resolve product and engineering gaps and meet immediate business needs


+ Chance to work across a wide range of business domains and contribute to meaningful impact


Required Skill Profession

Other General


  • Job Details

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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide


Real-time Analytics Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Analytics Engineer in , United States, highlighting market share and opportunities for professionals in Analytics Engineer roles.

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Are You Looking for Analytics Engineer Job?

Great news! is currently hiring and seeking a Analytics Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Schlesinger Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Analytics Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Analytics Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Analytics Engineer Job Success

Schlesinger Group interview tips for Analytics Engineer

Here are some tips to help you prepare for and ace your Analytics Engineer job interview:

Before the Interview:

Research: Learn about the Schlesinger Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your Analytics Engineer interview at Schlesinger Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Schlesinger Group's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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