Senior Data Analytics Consultant

2 weeks ago

San Francisco, California, United States Unreal Gigs Full time
Unlock Business Potential with Data Analytics

At Unreal Gigs, we're dedicated to empowering organizations with innovative data analytics solutions. As a Senior Data Analytics Consultant, you'll play a pivotal role in delivering data-driven insights and driving business value for our clients.

Key Responsibilities:
  1. Client Engagement: Collaborate with clients to understand their business objectives, challenges, and opportunities, and identify areas where data analytics can drive value and impact.
  2. Requirements Gathering: Work with clients to define project scope, objectives, and success criteria, and gather requirements for data analysis and reporting.
  3. Data Analysis: Analyze client data to uncover insights, identify trends, and develop actionable recommendations, using statistical analysis techniques, machine learning algorithms, and data visualization tools.
  4. Solution Development: Develop innovative data analytics solutions to address client challenges and meet business objectives, leveraging advanced analytics techniques and industry best practices.
  5. Data Visualization: Create clear and compelling visualizations to communicate analysis results and insights to clients, using tools such as Tableau, Power BI, or similar.
  6. Client Presentations: Present analysis findings, insights, and recommendations to clients in clear and concise presentations, and facilitate discussions to drive alignment and decision-making.
  7. Project Management: Manage end-to-end project delivery, including planning, execution, and monitoring, ensuring timely delivery of high-quality solutions that meet client expectations.
  8. Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure alignment of data analytics solutions with business needs and technical requirements.
  9. Knowledge Sharing: Share expertise and best practices in data analytics with colleagues and clients, and facilitate knowledge sharing sessions and workshops to build client capabilities in data-driven decision-making.
  10. Continuous Improvement: Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, and continuously seek opportunities to improve processes, methodologies, and tools.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
  • 5+ years of experience in data analytics, consulting, or a related field, with a focus on delivering data-driven solutions and driving business value.
  • Strong analytical and problem-solving skills, with experience in statistical analysis, data mining, and predictive modeling.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences.
  • Strong project management skills, with the ability to manage multiple projects simultaneously and drive project delivery in a fast-paced environment.
  • Ability to work effectively in cross-functional teams and collaborate with diverse stakeholders to achieve common goals.
  • Proven track record of delivering high-quality solutions that meet or exceed client expectations.
Benefits:
  • Competitive salary: The industry standard salary for Senior Data Analytics Consultants typically ranges from $150,000 to $200,000 per year, depending on experience and qualifications.
  • Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
  • Flexible work arrangements, including remote work options and flexible hours.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • Opportunity to work with a diverse range of clients and industries, driving impact and innovation through data analytics.
  • Vibrant and collaborative company culture with opportunities for growth and advancement.

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