Walk-in || SME - SQL/Python

Job description

We are seeking an experienced Data Analyst with strong expertise in data analysis, data manipulation, and advanced Excel. The ideal candidate should possess advanced knowledge of SQL and Python, with hands-on experience in working with large datasets, data cleansing, transformation, and reporting. Proficiency in Pandas and NumPy is mandatory, as these tools will be extensively used for data processing, analytical modeling, and automation. The candidate should be capable of identifying trends, generating actionable insights, and developing efficient data-driven solutions to support business decisions. Strong problem-solving skills, attention to detail, and the ability to work independently in a fast-paced environment are essential.

General Guideline:

Registrations will be processed on a first-come, first-served basis.

Participation is limited to the first 350 eligible candidates reporting between 09:00 AM and 11:00 AM.

• Personal laptops, tablets, or other electronic devices are not permitted during the interview process.
• Please carry a mobile charger, as the assessment and interview process may extend throughout the day.
• We are hiring Experience candidates for a SQL, Python, Advanced excel role and are looking for candidates with outstanding verbal communication skills.
• Applicants must be Graduates or Postgraduates. Candidates currently pursuing any degree, certification, or educational program will not be considered.
• The role is a WFH opportunity, primarily supporting stakeholders and requires working in night/rotational shifts and rotational week-offs.
• Candidates who are available to join immediately are highly encouraged to apply, as immediate availability will be considered a strong advantage.

Candidates Must Bring:

• Two copies of their updated resume.
• A valid Government-issued photo ID proof.

Key Responsibilities:

• Work closely with business, product, and operations stakeholders to understand analytical requirements.
• Extract, transform, and analyze data using SQL, Python, and Excel.
• Analyze unstructured text data like user feedback, chatbot transcripts, and survey responses.
• Apply text analytics and ML-based techniques (supervised and unsupervised) for insights.
• Design data science solutions and select SQL or Python strategies based on data volume, complexity, and use case.
• Design innovative workarounds and alternate analytical strategies when faced with tool, model, or dataset limitations.
• Translate complex analyses into clear stories and strategic recommendations for management, ensuring all methodologies and assumptions are transparently documented.

Eligibility Criteria:

• 3+ years of relevant experience as data analyst is mandatory.
• Excellent spoken English is mandatory.
• Strong verbal communication, listening, and interpersonal skills.
• Ability to hold fluent conversations with stakeholders.
• Customer-centric mindset with strong problem-solving abilities.

Mandatory Eligibility Criteria:

Candidates applying for this role must provide valid employment proof for their previous experience, including:

• Experience letters from previous employers.
• Relieving letters (where applicable).
• Government-issued identification documents.
• Active PF (Provident Fund) contribution records corresponding to the claimed work experience.
• All documents must be genuine and verifiable through background verification.
  

Note: Candidates unable to provide valid documentation supporting their work experience and active PF contribution history will not be considered for the role.

Preferred Candidate Profile:

• Take full ownership of the analytics process, from data extraction and coding to testing and delivering insights.
• Apply structured and logical thinking to develop analytical solutions and meet challenging deadlines.
• Exhibit strong problem-solving abilities, a proactive attitude, a commitment to continuous learning, and the ability to adapt quickly.
• Perform effectively under pressure while consistently delivering results within defined timelines.
• Demonstrate strong listening, communication, and presentation skills to understand and address business needs.
• Quickly build domain expertise, understand business challenges, and leverage appropriate analytical tools to solve them.
• Translate analytical findings into meaningful recommendations that drive process improvements and business value.
• Be willing to work in US shift timings and operate from the office.

Why Join Us?

• Excellent opportunity to kick-start your career in the Customer Support industry.
• Comprehensive training and development programs.
• Career growth opportunities within the organization.
• Dynamic and inclusive work environment.
• Exposure to global customer interactions and best-in-class customer service practices.