ZipRecruiter

Log In

1

Data Analyst Coach Jobs in Georgia (NOW HIRING)

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... Ability to mentor, coach, and lead others. * Contribute to and help build ML/AI vision to support ...

Apex Systems

Data Analyst

Atlanta, GA · On-site

Job#: 3044413 Data Analyst Location: Remote Role Overview We are seeking a Data Analyst to perform ... Career Coach. You can access a full list of our benefits, programs, support teams and resources ...

JLL

Data Analytics, Technical Director

Atlanta, GA · Remote

... provides coaching and education on database functions and best practices for performing tasks ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

New

Pwc

Data Strategy-Manager

Atlanta, GA · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

Pwc

Data Governance- Manager

Atlanta, GA

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... You are responsible for coaching, leveraging team member's unique strengths, and managing ...

Interfor

Manager, Data Platform

Peachtree City, GA · On-site

Manager, Data Platform, Peachtree City, Georgia The Manager, Data Platform is a player-coach ... Analytics& AI Enablement * Enable BI teams, data scientists, and citizen developers through ...

Interfor

Manager, Data Platform

Peachtree City, GA · On-site

STATE The Manager, Data Platform is a player-coach technical leader within Interfor's Data ... Analytics& AI Enablement * Enable BI teams, data scientists, and citizen developers through ...

next page

Showing results 1-20

All JobsData Analyst Coach JobsData Analyst Coach Jobs in Georgia

Data Analyst Coach information

What is a data analyst coach?

A Data Analyst Coach is a professional who helps individuals or teams develop and improve their data analysis skills. They provide guidance on data analytics tools, techniques, and best practices, often through personalized mentoring, workshops, and feedback on real-world projects. Data Analyst Coaches work with clients to identify skill gaps, set learning goals, and support their growth in areas such as data visualization, statistical analysis, and problem-solving. Their goal is to empower others to make data-driven decisions and succeed in data-focused roles.

What are the key skills and qualifications needed to thrive as a data analyst coach?

To thrive as a Data Analyst Coach, you need a solid background in data analysis, statistics, and teaching or mentoring, often supported by a degree in a quantitative field and relevant industry experience. Familiarity with analytics tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI, as well as instructional certifications, is typically expected. Outstanding communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding learners. These skills ensure you can translate complex data concepts into accessible lessons, fostering both technical growth and confidence in your mentees.

What are some common challenges data analyst coaches face when supporting new analysts, and how can they overcome them?

Data Analyst Coaches often encounter challenges such as varying skill levels among trainees, helping individuals adapt to rapidly changing analytical tools, and bridging the gap between theoretical concepts and real-world application. To overcome these, coaches should tailor their guidance to individual learning needs, stay updated on industry trends, and create practical, hands-on learning opportunities. Encouraging open communication and fostering a collaborative environment also helps new analysts feel supported and confident as they build their skills.

What is the difference between Data Analyst Coach vs Data Analyst?

AspectData Analyst CoachData Analyst
CredentialsOften requires experience in data analysis and coaching certificationsTypically requires a degree in data science, statistics, or related field
Work EnvironmentFocuses on training, mentoring, and developing data analystsPerforms data analysis, reporting, and data management tasks
Employer & IndustryUsed in organizations with training programs or analytics teamsFound across industries performing data-driven roles
Search & Comparison IntentOften searched by those seeking coaching or mentorship rolesCommonly searched by individuals looking for data analysis roles

The main difference is that a Data Analyst Coach focuses on mentoring and training data analysts, while a Data Analyst performs hands-on data analysis tasks. The coach role emphasizes skill development and team support, whereas the analyst role centers on analyzing data to inform business decisions.

Can a data analyst coach get a remote job?

A data analyst coach can often find remote jobs, especially as many companies offer remote work options for roles involving data analysis, training, and coaching. Success depends on skills, certifications, and experience with tools like Excel, SQL, or data visualization software, as well as strong communication abilities. Remote positions typically require reliable internet and self-motivation.

What are popular job titles related to Data Analyst Coach jobs in Georgia?

For Data Analyst Coach jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Analyst Coach jobs in Georgia look for?

The top searched job categories for Data Analyst Coach jobs in Georgia are:

What cities in Georgia are hiring for Data Analyst Coach jobs?

Cities in Georgia with the most Data Analyst Coach job openings:

Data Analyst Coach jobs near you

Data Analyst

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 20 days ago

Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML

Apply