Senior Data Analyst Architect (Team Lead)

apartmentGiGa-Ops Global Solutions placePune calendar_month 

Job Description

About the Role: We are seeking a highly experienced and visionary Data Analyst Architect to lead our data analytics team. The ideal candidate will have a deep understanding of data systems, extensive experience in analytics architecture, and proven leadership skills.

As a key player, you will design and optimize data solutions, provide technical guidance, and manage a team to deliver high-impact data-driven projects.

Key Responsibilities
  • Data Architecture and Design:
  • Design scalable and efficient data architectures to support analytics and business intelligence needs.
  • Establish and maintain data governance standards, ensuring data quality, security, and compliance.
  • Data Analysis and Insights:
  • Lead the development and delivery of actionable insights from complex datasets.
  • Collaborate with stakeholders to understand business goals and translate them into data-driven solutions.
  • Team Leadership:
  • Manage, mentor, and inspire a team of data analysts and engineers.
  • Foster a culture of excellence, innovation, and continuous improvement within the team.
  • Conduct regular performance reviews and provide constructive feedback.
  • Technology and Tools:
  • Stay updated with emerging trends and technologies in data analytics and architecture.
  • Guide the adoption and integration of modern tools (e.g., Power BI, Tableau, Apache Spark, Snowflake, AWS, Azure) to enhance analytics capabilities.
  • Project Management:
  • Oversee end-to-end project lifecycles, ensuring timely and quality deliverables.
  • Identify risks and develop mitigation strategies to keep projects on track.
  • Stakeholder Collaboration:
  • Partner with cross-functional teams to align analytics architecture with organizational strategies.
  • Present findings and recommendations to executives and other key stakeholders.
Key Skills And Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
  • Experience: Minimum 10+ years of experience in data analytics, architecture, and team leadership.
  • Technical Skills:
  • Expertise in data modeling, ETL processes, and database design.
  • Proficiency in SQL, Python, R, and other analytical tools.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Strong understanding of data visualization platforms (e.g., Tableau, Power BI, Looker).
  • Knowledge of cloud platforms and services (AWS, Azure, GCP).
  • Familiarity with machine learning frameworks and predictive analytics.
  • Leadership Skills: Proven experience managing and mentoring teams, with strong interpersonal and communication abilities.
  • Problem-Solving: Excellent analytical and critical-thinking skills, with a strategic mindset.
Preferred Qualifications
  • Certifications in data analytics, cloud platforms, or related fields.
  • Experience in implementing data governance frameworks.
  • Knowledge of agile methodologies and tools (e.g., Jira, Confluence).
  • Contributions to open-source projects or a strong portfolio of analytics solutions.

Skills: agile methodologies,data,analytics,power bi,cloud platforms,python,projects,design,tableau,machine learning frameworks,platforms,architecture,r,kafka,looker,data architecture,predictive analytics,sql,etl processes,big data technologies,data visualization,data governance,azure,skills,database design,jira,hadoop,confluence,data analytics,spark,gcp,leadership,aws

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