Manager Analytics and Insights Lead

Our employees are our company's greatest asset - they are our real competitive advantage. We possesse immense power of innovation, immagination and a desire to attract and retain the best; provide them with encouragement, stimulus, and make them feel that they are an integral part of the company's mission.

PURPOSE

Enable the distribution function for analytics-based decision-making using tools and strategies by managing the processes for accurate data collection, processing to interpret key findings. Seeking solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for distribution assets and network. Work closely with different internal and external stakeholders to support and implement high-quality, data-driven decisions and support performance team to drive improvement initiatives. Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for insights used in decision making and strategic planning across high levels of the distribution function. And propose initiatives to the department head, where needed. Incumbent would be managing and giving directions to data workers, and assets and network analysts to generate and share all the routine and requirement-based analytical reports.

Minimum Requirements

Education & Relevant Experience: Minimum 5+ years of working experience with a Bachelors/Masters degree preferably in fields such as Business Intelligence, databases, and business analysis with focus on data mining techniques.

Knowledge

 Project Management

Stakeholder management, Risk Assessment, Project Management Methodologies, Project management life cycle

 Business Acumen

Technical and commercial business application processes related to network and assets.

 Knowledge of analytical tools

SAP BOBJ tools such WEB I, Power BI, BEX, Analysis for office, Qlikview, Qlik sense, SQL developer, SQL server Management Studio

 Advance Electrical Knowledge

Electrical Network, Asset maintenance, AMR meters, basic electrical quantities, Technical Business Processes, Commercial business processes

 Query Language

SQL, T-SQL statements, PL/SQL

 Databases

Oracle, Microsoft SQL server, MySQL

 Scripting Languages

VBscript, Java script

 ERPs (SAP/Oracle)

Meter to cash cycle, asset life cycle, order to cash cycle, procure to pay cycle, hire to retire cycle, Record to report cycle.

AREAS OF RESPONSIBILITY

1 Data Analytics Framework

KPI and Metrics development

• Develop and translate business briefs into analytical projects by analyzing the process and capturing the untapped information within system which will help to improve digital KPI’s and ultimately assist in improvement and network health and effective asset utilization.
• Oversee and manage the full analytical process from ‘Data Cleaning’ to ‘Transformation’ by having internal discussion within team to Visualization and eventually insights and recommendations.
• Building and testing queries on in-house systems via business intelligence tools
• Establish standard KPIs based on the business briefs to set strong measurement tools to track performance; competition; quality of network; business impact and bridge lead parameters to lag outcomes
  
  

Discover Insights

• Facilitates organizational data strategies for design, implementation, integration, and usage through knowledge sharing sessions.
• Ensure excellence in descriptive analytics and use of analysis to enhance business decision making capabilities by utilizing the modern analytical approach.
• Conduct exploratory analysis by conducting an initial investigation on data to discover patterns, to spot anomalies, to test hypothesis a with the help of summary reports and graphical representations.
• Detect the root cause of the issue by applying techniques including fish bone analysis or Failure mode and effective Analysis (FMEA)
• Provide basis for investment plan and CAPEX to improvement function based on the past investments and their impacts.
• Lead cross-functional projects using advanced data modelling and analysis techniques.
• Help business become more profitable by recommending innovation in processes, resulting in resolution of complex KE challenges.
  
  

2 Augmentation of Data Analytics

Explore data avenues

• Identify and recommend the creation of data points within KE systems by addressing the key improvement areas.
• Analyze the technical and commercial business processes by identifying data related gaps based on which make recommendations to the process owners for capturing additional information for driving insights.
• Leads the development and assessment of automated and intuitive datasets through continuous and timely feedback, ensuring these are maintained and up to date for use in the development of asset capital and operating expenditure strategies.
  
  

Drive Insights

• Assists in the development of approaches to determine effective trade-offs between capex/OPEX and risk/cost/performance by conducting requirement gathering sessions with stakeholders.
• Identity measurement systems and criteria to assess effectiveness of initiatives and propose improvements based on facts and data.
• To ensure optimal use of information at lowest complexity within KE BI Tools for key technical and techno commercial processes.
• Monitor the asset management performance metrics by diagnosing deficiencies, identifying assets having repetitive fault and analyzing investment carried out for maintenance.
• Analyze the implementation and ongoing improvement of all data on physical assets to include asset onboarding, criticality, condition assessment, inspection history, repairs, and failures
• Improve network health for all types of users and partners over time, including Overloading, unbalancing and other irregularities within the distribution network by recommending interventions based on the outcome of the analysis.
• Lead the analysis of disruption in distribution network by discovering insights that will guide strategic decisions and uncover optimization opportunities to minimize down time.
  
  

3 Data Integrity

Master Data Management

• Lead the design and implementation of master data for data quality control and change management within the business applications by analyzing loopholes in the data capturing mechanism
• Define a systems landscape for Master Data Management to connect data flows across all KE Data systems ((i.e. hierarchies, attributes/properties, validations) based on the industry best practices
• Operationalize governance processes for creation/change of master data by implementing and improving data standards, integrity, and consistency.
  
  

Data Governance

• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Identifies areas for data quality improvements and resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement or process design strategies.
• Monitoring data quality process by identifying data quality issue patterns as well as recommending remediation plans, implementation of data controls, and manage data quality remediation strategies.
• Exceptional Reporting
• Escalations
• Stakeholder Management
• Coordination with Internal stakeholders as per need basis by conducting knowledge sharing sessions
• Coordination with External stakeholders by conducting meetings and focus groups
• Change management by sharing guidelines
  
  

Technology recommendations

• Makes recommendations for improvement of asset heath and loss reduction through research, evaluation of alternatives, and implementation of new technologies and meter management tools.
  
  

Operational Support

• Monitor the ad-hoc data requirement.
• Functional support of MDMS analytics commercial stream
• Lead the support of additional dashboard and visualizations.
  
  

Enhancements & Change Requests

• Business Process Reengineering (H2H or non-Projectized Developments).
  
  

Training Refreshers

• Periodic On-Demand Sessions (Virtual & Physical).
  
  

Mentoring

• Recruit, train, develop and supervise analyst-level employee
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design solutions to meet these needs. 10%
  
  

KE provides equal employment opportunity (EEO) to all persons regardless of age, color, origin, physical or mental disability, race, religion, creed, gender, marital status, status with regard to public assistance or any other characteristic protected by federal, state or local laws.