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Senior Consultant – Data Analytics

Job Description

Position Title

Senior Consultant – Data Analytics

Practice

Analytics and Insights Experience

 

Position Purpose

The position of Senior Analyst is within TTEC Digital Analytics and Insights Experience (AIX) team. AIX group is responsible for Data Science and Engineering projects that include the design and validation of data models, build systems to collect, manage and convert transactional raw data to usable data structures to generate insights for decision making.

 

Our Data Engineers work with Data Scientists, Project Leads, Managers on implementation, upgrade, and migration projects.  

 

Key Responsibilities

·         Analyzing raw data

·         Developing and maintaining datasets

·         Improving data quality and efficiency

·         Create solution and design documentation.

·         Work on projects independently as well as being part of a large team.

·         Develop internal training, process and best practices.

·         Crosstrain Junior Data Engineers or other team members with your area of expertise

·         Further develop skills both on the job and through formal learning channels

·         Assist in pre-sales activities by providing accurate work estimate.

·         Interacts closely with Project Management to deliver projects that are done on time and on budget.

 

Competencies

·         Personal:  Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results oriented, resourceful, problem-solving ability, deal effectively with difficult situations, ability to prioritize.

·         Leadership:  Ability to gain credibility, motivate and provide leadership; work with a diverse customer base; maintain a positive attitude. Provide support and guidance to more junior team members, particularly for challenging and sensitive assignments.

·         Operations:  Ability to manage multiple projects and products. Perform task at hand in a customer friendly manner while utilizing time and resources efficiently and effectively. Utilize high level expertise to address more difficult situations, both from a technical and customer service perspective.

·         Technical:  Ability to understand and communicate technical concepts; proficient with Microsoft Project, Visio and Office products.

 

Technical Skills:

·         Python (pydata, pandas, numpy, pyspark)

·         SQL (MS SQL, OracleDB, Terradata)

·         Azure Data Factory

·         Azure Data Bricks

·         Big Data (Spark, pig, hive, scoop, kafka etc.)

·         DevOps (using tools such as GITHUB Actions and Jenkins is preferred)

·         Agile/Scrum

·         Rest Services and API Management:

o   Implementing API proxies through gateways using Apigee X and/or Apigee Edge

o   API design, development, and testing including creating SWAGGER/Open API specs.

Education, Experience and Certification

·         Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field. BA/BS in unrelated field will also be considered depending on experience,

·         5-8 years in Data Engineering

·         3+ years of application design and development experience in a cloud environment

·         2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment.

·         2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, Node.js, Java

·         Certified Kubernetes Application Developer

·         Google Cloud Certified Apigee API Engineer     

 

Organizational Description

At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology.

 

We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.

 


₹22,00,000 - ₹35,00,000 a year
Job Description
Position Title
Senior Consultant – Data Analytics
Practice
Analytics and Insights Experience
 
Position Purpose
The position of Senior Analyst is within TTEC Digital Analytics and Insights Experience (AIX) team. AIX group is responsible for Data Science and Engineering projects that include the design and validation of data models, build systems to collect, manage and convert transactional raw data to usable data structures to generate insights for decision making.
 
Our Data Engineers work with Data Scientists, Project Leads, Managers on implementation, upgrade, and migration projects.  
 
Key Responsibilities
·         Analyzing raw data
·         Developing and maintaining datasets
·         Improving data quality and efficiency
·         Create solution and design documentation.
·         Work on projects independently as well as being part of a large team.
·         Develop internal training, process and best practices.
·         Crosstrain Junior Data Engineers or other team members with your area of expertise
·         Further develop skills both on the job and through formal learning channels
·         Assist in pre-sales activities by providing accurate work estimate.
·         Interacts closely with Project Management to deliver projects that are done on time and on budget.
 
Competencies
·         Personal:  Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results oriented, resourceful, problem-solving ability, deal effectively with difficult situations, ability to prioritize.
·         Leadership:  Ability to gain credibility, motivate and provide leadership; work with a diverse customer base; maintain a positive attitude. Provide support and guidance to more junior team members, particularly for challenging and sensitive assignments.
·         Operations:  Ability to manage multiple projects and products. Perform task at hand in a customer friendly manner while utilizing time and resources efficiently and effectively. Utilize high level expertise to address more difficult situations, both from a technical and customer service perspective.
·         Technical:  Ability to understand and communicate technical concepts; proficient with Microsoft Project, Visio and Office products.
 
Technical Skills:
·         Python (pydata, pandas, numpy, pyspark)
·         SQL (MS SQL, OracleDB, Terradata)
·         Azure Data Factory
·         Azure Data Bricks
·         Big Data (Spark, pig, hive, scoop, kafka etc.)
·         DevOps (using tools such as GITHUB Actions and Jenkins is preferred)
·         Agile/Scrum
·         Rest Services and API Management:
o   Implementing API proxies through gateways using Apigee X and/or Apigee Edge
o   API design, development, and testing including creating SWAGGER/Open API specs.
Education, Experience and Certification
·         Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field. BA/BS in unrelated field will also be considered depending on experience,
·         5-8 years in Data Engineering
·         3+ years of application design and development experience in a cloud environment
·         2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment.
·         2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, Node.js, Java
·         Certified Kubernetes Application Developer
·         Google Cloud Certified Apigee API Engineer     
 
Organizational Description
At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology.
 
We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.
 
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Average salary estimate

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$264000K
$525000K

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What You Should Know About Senior Consultant – Data Analytics, TTEC Digital

Are you a passionate data enthusiast ready to take your career to the next level? As a Senior Consultant – Data Analytics with TTEC Digital, you'll be an integral part of our Analytics and Insights Experience (AIX) team based in Hyderabad. This role is all about diving deep into data, where you'll analyze raw data, develop and maintain datasets, and improve data quality and efficiency. You'll have the opportunity to create solution and design documentation and work on various fascinating projects both independently and collaboratively with a vibrant team. We believe in nurturing our talent, so you’ll also develop internal training materials and best practices while cross-training junior data engineers. A big part of your role will involve close interaction with project management to ensure that our projects are delivered on time and within budget. With a nice blend of technical acumen and personal skills such as high energy and integrity, you'll lead, motivate, and positively influence your peers. We are committed to providing a flexible, remote-first working environment that prioritizes work-life balance and ongoing education. If you have a degree related to computer science and 5-8 years of experience in data engineering – along with expertise in Python, SQL, Azure, and big data technologies – then this is your chance to shine. Come join TTEC Digital and fuel exceptional experiences for our clients!

Frequently Asked Questions (FAQs) for Senior Consultant – Data Analytics Role at TTEC Digital
What responsibilities does a Senior Consultant – Data Analytics at TTEC Digital have?

As a Senior Consultant – Data Analytics at TTEC Digital, you'll be responsible for analyzing raw data, developing and maintaining datasets, enhancing data quality, and creating documentation. You'll also play a vital role in project management interactions and assist in pre-sales activities.

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What qualifications do I need for the Senior Consultant – Data Analytics position at TTEC Digital?

To qualify for the Senior Consultant – Data Analytics role at TTEC Digital, you should have a post-secondary degree in Computer Science, MIS, or a related field, along with 5-8 years of experience in data engineering, and proficiency in Python, SQL, and Azure among other key technical skills.

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What technical skills are required for the Senior Consultant – Data Analytics at TTEC Digital?

The role requires a strong technical background including expertise in Python (pydata, pandas, numpy, pyspark), SQL (MS SQL, OracleDB, Terradata), Azure Data Factory, Azure Data Bricks, and experience with big data tools like Spark and Kafka at TTEC Digital.

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Can a candidate without a computer science degree apply for the Senior Consultant – Data Analytics position at TTEC Digital?

Yes, candidates with a bachelor's degree in an unrelated field may be considered for the Senior Consultant – Data Analytics role at TTEC Digital depending on their relevant experience in data engineering and analytics.

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Is there room for growth in the Senior Consultant – Data Analytics position at TTEC Digital?

Absolutely! At TTEC Digital, the Senior Consultant – Data Analytics role promises not only hands-on experience with data projects but also opportunities for skill development through formal learning channels and mentorship of junior team members.

Join Rise to see the full answer
Common Interview Questions for Senior Consultant – Data Analytics
Can you describe your approach to analyzing raw data?

Begin by mentioning your methodology in assessing and cleaning the data, explaining how you'd form hypotheses based on preliminary insights, and ensuring data integrity before analyzing. Highlight the importance of collaboration with stakeholders.

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What specific tools and technologies do you find most effective for data analysis?

Discuss your proficiency with tools like Python (specifically libraries like pandas and NumPy), SQL for database querying, and any experience you've had with big data technologies like Spark or Azure Data Factory.

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How do you ensure data quality in your projects?

Explain your systematic approach towards data validation techniques, importance of documentation, and how you work with your team to continuously monitor and optimize data workflows for maximum effectiveness.

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Can you give an example of a project where you improved data efficiency?

Share a specific example, focusing on the challenges you faced, the technical solutions you implemented, and the results you delivered. Quantify your achievements where possible.

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How do you prioritize multiple projects and tasks?

Discuss your time management strategies, emphasizing your ability to assess project importance, set deadlines, and effectively communicate with team members and project managers to manage expectations.

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What experience do you have with API design and development?

Elaborate on your experience with REST services, your approach to designing APIs, and any projects where you implemented API proxies or utilized tools like Apigee for API management.

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Describe a situation where you had to deal with a challenging technical problem.

Provide a structured recount of the problem, your analytic process to diagnose it, the solution you implemented, and what you learned from that experience.

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How would you loop in stakeholders during a data project?

Talk about your communication strategy including regular updates, stakeholder meetings, and the tools you use to ensure transparency and collaboration throughout the project life-cycle.

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What motivates you to stay updated with data analytics trends?

Share your passion for continuous learning through online courses, webinars, forums, or subscribing to relevant journals that help you stay in tune with the evolving landscape of data analytics.

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What role do you think a Senior Consultant – Data Analytics plays in team success?

Articulate your view on leadership within the team context, how guiding less experienced team members, sharing knowledge, and fostering a positive environment contributes to achieving project goals and overall team success.

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Full-time, remote
DATE POSTED
April 15, 2025

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