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ن

Data Analytics Manager

Nibav Lifts

Chennai, Tamil Nadu, India · مکمل وقت

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
کوئی بھی
تنخواہ
کھلنا
1
پوسٹ کیا گیا
3 گھنٹے قبل
کام کا موڈ
دفتر میں
تعلیم
B.Tech / B.E. in Artificial Intelligence And Data Science, B.Sc in IT & Data Analytics
اہلیت
Applicants should possess a B.Tech or B.E. degree in Artificial Intelligence and Data Science, or a B.Sc degree in IT & Data Analytics.
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

جہاں آپ کام کریں گے۔

ملازمت کی تفصیل

About the Company

Nibav Lifts, under the Elite Elevators brand, offers innovative air pressure-driven elevators designed for efficient ascending and descending. These elevators are partially assembled prior to delivery to expedite installation and uphold quality. With a vision to bring luxury to every home, these elevators are manufactured in India to provide affordable home elevator solutions.

Role Overview and Key Responsibilities

  • Develop and implement the organization's data analytics strategy that aligns with overall business objectives.
  • Deliver actionable insights to enhance revenue, profitability, customer satisfaction, operational efficiency, and organizational growth.
  • Perform detailed analysis across sales, CRM, technical services, and operations data to detect patterns, revenue losses, conversion challenges, customer issues, and areas for improvement.
  • Create executive dashboards, management information system reports, KPI/KRI scorecards, and frameworks to monitor performance effectively.
  • Lead the design, implementation, and optimization of analytics infrastructure leveraging GCP and BigQuery platforms.
  • Manage ETL processes, data pipelines, automation workflows, API integrations, and establish data governance protocols.
  • Integrate diverse data sources including Salesforce, LeadSquared, Looker, BigQuery, ERP, CRM, and other systems to support decision-making.
  • Collaborate closely with the CEO and business stakeholders to aid strategic and operational decisions.
  • Identify inefficiencies, operational bottlenecks, business risks, and opportunities for cost savings across business functions.
  • Set and enforce data quality standards, reporting governance policies, and best practices organizational-wide.

Team Leadership and Development

  • Establish and expand the data analytics team aligned with business growth demands.
  • Recruit, guide, and retain a skilled team of 5 to 10 data analysts, BI developers, and data engineers.
  • Define team objectives, performance indicators, career progression plans, and training initiatives.
  • Cultivate a culture emphasizing ownership, innovation, continuous enhancement, and strong business partnerships within the analytics group.
  • Ensure the punctual delivery of analytics projects, reports, dashboards, and insightful business analysis.

Required Skills and Expertise

  • In-depth knowledge of Google Cloud Platform (GCP) and BigQuery architecture.
  • Expertise in dashboard creation, business intelligence solutions, and data visualization techniques.
  • Strong grasp of sales, CRM, customer, and operational analytics domains.
  • Practical experience with ETL/ELT workflows, data automation, API management, and data warehousing.
  • Advanced proficiency in Microsoft Excel and analytical methodologies.
  • Familiarity with Salesforce, LeadSquared, Looker, BigQuery, API integrations, and ERP/CRM systems.
  • Excellent stakeholder management and the ability to collaborate cross-functionally.
  • Proven leadership skills in building and scaling analytics teams.
  • Solid business insight with the capability to translate data into strategic recommendations.

Success Indicators

  • Growth in revenue driven by data-backed insights.
  • Enhanced sales conversions, higher customer retention rates, and improved customer satisfaction.
  • Effective identification and resolution of revenue leakages and operational inefficiencies.
  • Increased levels of automation and efficiency in reporting.
  • Successful implementation of KPI/KRI framework throughout departments.
  • Development and expansion of a high-performing analytics team.
  • Improved decision-making enabled by timely and actionable insights.

Eligibility Criteria

Candidates holding a B.Tech or B.E. degree in Artificial Intelligence and Data Science or a B.Sc degree in IT & Data Analytics are eligible to apply.

Work styles they’re looking for

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