Job Description

Job Overview: The Analytics Solutioning Architect is a specialized role focused on designing and implementing analytics solutions that leverage data to drive insights, inform decision-making, and optimize business outcomes. This role requires a deep understanding of data analytics technologies, methodologies, and best practices, as well as expertise in solution architecture and design. The Analytics Solutioning Architect collaborates with stakeholders to understand business requirements, define analytics strategies, and architect end-to-end solutions that enable organizations to harness the power of data for competitive advantage.

Key Responsibilities:

Analytics Strategy and Roadmap: Partner with business stakeholders to understand strategic objectives, challenges, and opportunities related to data analytics. Define analytics strategies, goals, and KPIs aligned with business priorities and organizational goals. Develop analytics roadmaps that outline the vision, initiatives, and milestones for achieving analytics maturity and success. Solution Design and Architecture: Architect end-to-end analytics solutions that encompass data ingestion, storage, processing, analysis, and visualization. Design data models, schemas, and structures to support analytics use cases and requirements. Evaluate and recommend analytics platforms, tools, and technologies to meet business needs and technical constraints. Data Integration and Preparation: Define data integration strategies and workflows to ingest, cleanse, transform, and enrich data from diverse sources. Implement data pipelines, ETL processes, and data wrangling techniques to prepare data for analysis and modeling. Ensure data quality, consistency, and integrity throughout the data lifecycle. Advanced Analytics and Modelling: Develop advanced analytics models, algorithms, and machine learning solutions to extract insights and predict outcomes. Implement statistical analysis, predictive modelling, and data mining techniques to uncover patterns and trends in data. Optimize analytics models for performance, accuracy, and scalability using parallel processing and distributed computing frameworks. Data Visualization and Reporting: Design interactive dashboards, reports, and visualizations to communicate insights and findings to stakeholders. Select and customize visualization tools and libraries to create compelling and actionable data stories. Ensure usability, accessibility, and responsiveness of visualizations across devices and platforms. Collaboration and Stakeholder Management: Collaborate with cross-functional teams to align solution designs with product roadmaps and capabilities. Build relationships with key stakeholders, including customers, partners, and vendors, to foster collaboration and trust. Facilitate communication and coordination between internal teams and external stakeholders to ensure successful solution delivery.

Qualifications:

• Bachelor's or Master's degree in computer science, statistics, mathematics, or related field.
• Proven experience in analytics solution architecture, data engineering, or related roles.
• Strong understanding of data analytics concepts, methodologies, and technologies.
• Strong understanding of machine learning algorithms and statistical methods
• Proficiency in analytics platforms, tools, and programming languages (e.g., Python, R, SQL, Tableau, Power BI).
• Excellent communication, presentation, and stakeholder management skills.
• Strong problem-solving, analytical, and critical-thinking abilities.

Experience:

• Minimum of 9-10 years of experience in analytics solutioning, data engineering, or related fields.
• Demonstrated track record of designing and delivering analytics solutions that drive business impact and value.
• Experience working with big data technologies, cloud platforms, and distributed computing frameworks (e.g., Hadoop, Spark, AWS, Azure).
• Familiarity with industry-specific analytics domains, such as marketing analytics, financial analytics, or healthcare analytics.