Business & Information Analyst II

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Overall Purpose of the Role :-

The Systems Engineer will be part of the Merchandise Business Intelligence & Analytics (MBIA) team responsible for monitoring and optimizing databases and servers to facilitate efficient functioning of the Parks Merchandise Retail division of the company.

This role will not only ensure the health, accuracy, and availability of production systems but also leverage modern data engineering and AI/ML capabilities to support advanced analytics and intelligent data operations.

This position will receive guidelines and instructions from India as well as US team leaders who are managing systems and databases for the Parks Retail business.

Areas of Responsibility

Key elements and required results of the role

            Responsibilities include monitoring daily and weekly data batches, including extraction, loading, and transformation of upstream business data into local and cloud databases, leveraging automation and AI/ML-powered tools for anomaly detection and intelligent error handling.

            Support ETL pipelines enhanced with machine learning models for improved data quality, integrity, and operational efficiency.

            Perform root cause analysis for data flow failures, collaborating with various support teams to expedite issue resolution.

            This position will also be responsible for the ongoing management and support of existing and newly developed databases within the department, supporting downstream analytics, dashboarding, and model training/inference pipelines

            Other responsibilities include handling access requests to various applications, monitoring support tickets and assigning them to application owners or relevant teams, monitoring server patching activities carried out by vendor partners and performing sanity tests on production applications to ensure their availability.

            Ensure routine/timely communication with leaders regarding work status and day-to-day activities.

            Create functional and technical documentation of the systems that the candidate will work on, to add to the team’s knowledge repository.

 External and Internal Stakeholders

• Who is the individual accountable to, what are they accountable for ?
•             The individual will be accountable to both India as well as US team leaders who are managing systems and processes for the Parks Retail business.
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Qualification & Experience Required

• Number of years of Experience, Qualifications
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•             Bachelor’s degree in Computer Science / Information Technology or equivalent with excellent grades

            2-4 years’ experience in database and server management with exposure to advanced analytics, AI/ML-powered data pipelines, or automation frameworks as a strong plus

Skills Required

Highlighting the key technical, language and job-related skills required

Technical Expertise:

            Expertise in Microsoft SQL Server and SQL Server Integration Services (SSIS)

            Technical knowledge of creating, debugging, scheduling, and monitoring ETL batches, with experience optimizing data flows using automation and AI/ML techniques (such as anomaly detection, outlier filtering, and self-healing processes).

•             Hands-on experience with data pipelines and orchestration tools supporting integration of AI/ML components and workflows.
•             Familiarity with Python or R for scripting and integration with ML libraries within data workflows.
•             Proficiency in data fetching, transfer and manipulation using efficient database queries
•             Experience configuring and working with Microsoft Internet Information Services (IIS).
•             Experience with server installation and performance tuning would be an added advantage.
•             Experience working with Data Warehouses like Snowflake
•             Experience or knowledge of using Tableau for creating dashboards would be a plus.
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Soft Skills:

•             Fluency in English Communication (verbal and written)
•             Strong attention to detail
•             Ability to work on a team in a collaborative environment.
•             Ability to adapt to change and learn new technologies quickly.
•             Ability to interact with stakeholders at all levels.
•             Strong customer service focus
•             Ability/desire to work in a diverse environment.

Competencies Required

• Highlighting the key competencies required for the role
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• Critical Success Factors

• Real enthusiasm and passion for data and a personal drive to create well-functioning technical infrastructure
• Understanding of basic logic and what inferences can correctly be drawn from existing data
• Ability to make progress and move forward on a project independently balanced by the judgment to know when to ask clarifying questions

Thinks Strategically

• Leverages synergy opportunities across functions and businesses.
• Identifies key business opportunities and challenges.

Builds Relationships

• Engages colleagues across the organization to optimize performance.
• Manages the needs of diverse stakeholders.
• Facilitates win-win situations.

Communicates Effectively

• Obtains full engagement through inspiring communications.
• Provides appropriate rationale and context to drive commitment.
• Distils complex plans into focused presentations that are clearly and succinctly delivered.

Drives Results

• Achieves high levels of customer satisfaction.
• Analyses problems effectively and takes action to resolve.

Inspires Creativity and Innovation

• Proactively looks for new creative ideas and marketing opportunities.
• Facilitates the exchange of ideas and creation of new ones.
• Transfers ideas and successes across boundaries

Champions Change

• Supports new initiatives.
• Demonstrates flexibility in response to changes (both internal and competitively)

Builds Teams

• Provides appropriate direction, resources and environment needed for success.
• Proactively recruits, retains and develops a diverse range of talented people.
• Recognises and rewards the achievements of others.
• Strengthens others through mentoring and feedback.
• Supports productivity and morale of the team.

Exhibits Professional Excellence

• Pursues excellence with integrity, passion and courage.
• Strives for self-improvement.
• Earns the trust and respect of colleagues, partners and customers.

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