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Data Analytics Manager

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

8-12 years of relevant experience, Proficiency in SQL, Python, Alteryx, R, Tableau, Power BI, AWS, Azure, Strong background in business data analytics and consulting roles.

Key responsabilities:

  • Lead a team providing analytics and automation solutions to clients
  • Collaborate with internal and external stakeholders to deliver innovative solutions
  • Design, develop and implement analytical techniques for various industries
  • Build solutions using modern data tools like Snowflake, SQL, Python, Tableau
  • Conduct client meetings and produce documentation related to solutions
Yo Hr Consultancy logo
Yo Hr Consultancy SME https://www.yohrconsultancy.com/
11 - 50 Employees
See more Yo Hr Consultancy offers

Job description

Logo Jobgether

Your missions

Experience - 8-12 years
Work Nature - CURRENTLY REMOTE WORKING. WILL BE HYDERABAD LATER 

Experience in Technologies
» Data analytics tools: SQL, Python, Alteryx, R, Snowflake, Any ETL tool (e.g. SAP DS, Informatica)
» Data visualization tools: Tableau, Power BI
» Cloud platform: AWS, Azure

What You’ll Do-
As a manager, you will have the opportunity to gain valuable hands-on experience collaborating with leading professionals while building your professional skills in a variety of analytical techniques and industry specialties. Our analytics and automation service helps organizations effectively navigate business risks and opportunities from strategic and financial risks to operational, and regulatory risks to gain a competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our leading consulting teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries.

The Role
The Manager is a key hands-on leader of a team providing analytics and automation solutions to our clients, and will be an "athlete" who can contribute across the data and analytics spectrum, including:
» Collaborate with clients and internal teams to analyze, design, and deliver innovative analytics and automation solutions for a wide variety of business topics and industries
» Work closely with both business and IT stakeholders, to best align business needs with technical capability/feasibility
» Design and develop insightful analytics deliverables via a variety of techniques, including requirements gathering, data profiling, data analysis, statistical analysis, predictive modeling, machine learning, artificial intelligence, use case definition, data visualization, and data storytelling
» Build solutions leveraging modern data wrangling, analysis, and visualization tools, such as Snowflake, SQL, Python, R, Tableau, Power BI, Alteryx, SageMaker, among other cloud solutions
» Understanding how these solutions can be deployed within the Cloud environment
» Conduct and participate in client white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
» Produce documentation to aid both business and technical users related to the solutions produced

What You’ll Bring
» At least 8 years of relevant work experience in client-facing or internal consultative roles with at least 5 years in business data analytics (preferably Big-4 experience)
» A client-service mindset and a desire to take on tough and challenging projects
» Effective communication skills, both written and verbal
» Ability to "tell the story” and develop executive-level presentations from initial storyboarding to delivery
» Exceptional attention to detail and ability to work effectively with minimal supervision
» Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment


Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Ability to Work Under Minimal Supervision
  • Effective Communication
  • Attention to Detail

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