Consultant-Data Analytics-Alteryx

The Senior Data Analytics Consultant role is a high-impact position that requires a combination of deep analytical expertise, advanced technological proficiency, and exceptional collaborative skills. Your primary responsibility will be to define and implement data strategies that enhance business outcomes through innovative analytics and predictive modeling. Proficiency in SQL, Power BI, Alteryx, and familiarity with data modeling, cloud data solutions, and data quality management practices are essential for success in this role. Your leadership and stakeholder management skills will be crucial in ensuring that data insights are effectively translated into actionable business strategies across the organization. The ideal candidate will possess refined problem-solving abilities, advanced technical skills, and a proven track record of making strategic impacts in the field of data analytics. With at least 6 years of total experience in data analytics, including a minimum of 5 years of hands-on experience in SQL, Alteryx, Power BI, and relational database concepts, you will be well-equipped to excel in this role. Expertise in Power BI, including Power Query, Data Modeling, Visualization, and DAX for creating complex calculations, measures, and custom columns, is crucial. Experience with Row Level Security (RLS) in Power BI, Alteryx for designing robust data workflows, and proficiency in data modeling concepts will be key aspects of your responsibilities. An understanding of cloud technologies and programming background will be advantageous for this role. As a Senior Data Analytics Consultant, you will spearhead data analytics initiatives, utilizing advanced data visualization and statistical techniques to uncover insights and optimize growth opportunities. Your responsibilities will include architecting and ensuring precision in data design, metrics, and analytics distributed to interdisciplinary stakeholders, as well as customizing dashboards and workflows using Power BI and Alteryx. Collaboration with various teams to understand processes, challenges, and customer needs, defining key performance indicators (KPIs), and leading projects will be integral parts of your role. Qualifications for this position include a Bachelor's degree (BE/BTECH) in Computer Science, Engineering, Data Science, or related fields. A Master's degree in Data Analytics, Data Science, Statistics, or relevant certifications such as CAP, DASCA, Microsoft Certified: Data Analyst Associate, or equivalent, are highly preferable. Your ability to lead projects, influence teams, and mentor junior analysts will be essential in this role.,