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SDNA Global
42 SDNA Global Jobs
4-10 years
Senior Consultant - Analytics Consulting - Customer Analytics (4-10 yrs)
SDNA Global
posted 15hr ago
Flexible timing
Key skills for the job
Job Position : Customer Analytics
Open Level : Sr Consultant
Locations : Chennai / Bangalore / Hyderabad - Hybrid Mode
Experience : 4 - 10 Years
Notice Period : 0-30 Days / Immediate Joiners
Key Responsibilities :
- Understand Customer Segments & Digital Channels: Develop a deep understanding of our diverse customer segments and the digital channels they utilize (web, mobile, text, chat/chatbot, email, etc.).
- Analyze Customer Journeys: Investigate the complete customer journey, identifying unmet needs and opportunities for enhancing digital channel usage.
- Drive Digital Adoption: Discover insights, trends, patterns and friction points that will enable to promote and drive digital engagement, usage and adoption.
- Customers experience data domains and products: Work with the data engineering teams to build comprehensive customer data domains and products to enable 360-degree view on customer experience.
- Democratize Data Access: Facilitate the accessibility of digital/customer data to support other analytic functions and business partners.
- Foster Curiosity & Improvement: Encourage a culture of curiosity and continuous improvement within the team.
- Omni channel Insights: Provide insights related to digital platforms (web, mobile, text, chat/chatbot, email, etc.), which are used by millions of users and represent a significant growth area for the company.
- Synthesize Data to Narrate Customer Stories: Connect insights from various data sets to effectively tell the story of the customer. Develop and maintain dashboards and reports for key stakeholders. Communicate complex digital customer data journey in a clear and concise manner to non-technical stakeholders.
- Collaborate with Cross-Functional Teams: Work with cross-functional teams to determine and achieve business objectives.
Desired Skills, Competencies and Experience :
- Bachelor's degree in computer science, Information Systems, Marketing, or a related field.
- Experience in data analysis, customer insights, web analytics, and digital marketing.
- Proficiency with analytics tools such as Google Analytics, Adobe Analytics, or similar.
- Expertise in programming languages like SQL (complex queries) , Python, scala
- Proficient in integrating diverse data sets from multiple platforms to derive valuable insights.
- Data Mappings, Functional Specs, Data Design/ Data Modeling, Data Visualization and Analytics (Tableau, ThoughtSpot), Data Warehousing and Data Analysis (Oracle, SQL, PL/SQL, SCDs)
- Exposure to Machine Learning: Recommender systems, dimensionality reduction & unsupervised learning, linear methods, tree-based & non-parametric methods.
- Cloud/Big Data: AWS, GCP big query, Spark, Airflow
- Exposure to Statistical Methods: MCMC/Empirical Bayes, A/B & hypothesis testing, experiment design,bandit methods
- Visualization: matplotlib/seaborn, plotly, Tabl
- Strong critical thinking and analytical skills.
- Excellent communication skills to explain complex data to non-technical stakeholders.
- Ability to work collaboratively in a team environment.
- Detail-oriented with a focus on accuracy and data integrity.
Preferred Experience :
- Experience with machine learning techniques and frameworks.
- Familiarity with cloud platforms such as AWS or GCP.
- Experience with big data tools like Spark and Airflow.
- Proficiency in data visualization tools like Tableau or Plotly.
- Knowledge of statistical methods and experiment design.
- Proven track record of driving business growth through data-driven insights.
Functional Areas: Other
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