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Sr Specialist Data Analysis

Chennai, India

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insight

Analyze data sets of millions of customers - and uncover groundbreaking solutions that have a global impact.

"You get to work on multi-million dollar projects from day one using the latest technology, and there are many training opportunities if you want to learn something new."

Sang Han — Senior Data Scientist

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Job Description:

Job Summary:

As a member of the Data Analytics team, you will work with various data sets to uncover insights that drive strategic decision-making and business optimization. Your responsibilities include data collection, analysis, interpretation, and visualization, as well as providing actionable recommendations to support business goals. You will collaborate with cross-functional teams and play a key role in fostering a data-driven culture within the organization.

Key Responsibilities:

- Data Collection & Preparation: Gather data from various sources, clean and preprocess data to ensure accuracy and consistency. Utilize Snowflake and databricks for data storage, processing, and querying.

- Data Analysis: Conduct statistical analysis and exploratory data analysis to identify trends, patterns, and insights. Use machine learning techniques for predictive modeling and other advanced analytics tasks.

- Data Visualization: Create clear and meaningful data visualizations using tools like Tableau Power BI or like effectively communicate insights.

- Reporting & Dashboards: Develop regular reports and dashboards to track key performance indicators (KPIs) and business metrics.

- Collaboration: Work closely with other teams (e.g., marketing, finance, operations) to understand their data needs and provide insights to support their objectives.

- Documentation: Document analytical processes, findings, and methodologies for future reference and knowledge sharing.

- Problem Solving: Use data to identify opportunities for business improvements and provide recommendations for process optimization.

- Continuous Learning: Stay up to date with industry trends, tools, and best practices in data analytics, including Snowflake and machine learning techniques.

Qualifications:

- Education: Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering).

- Experience: Previous experience in a data analytics role or a related field, including work with Snowflake and machine learning, required technical skills include,

-Proficiency in data analysis languages (e.g., Python, R) and data manipulation tools (e.g., SQL)

-Familiarity with data visualization tools like Tableau, Power BI, or similar, hands-on experience using Snowflake for data storage, querying, and processing

-Experience with machine learning techniques, including supervised and unsupervised learning, model training, evaluation, and deployment.

-Strong understanding of statistical analysis and hypothesis testing.

-Understanding of data privacy regulations and adherence to data governance best practices

- Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner.

- Problem-Solving Skills: Strong analytical and problem-solving abilities with attention to detail.

- Teamwork: Ability to work effectively as part of a team and collaborate with different departments and willingness to learn new tools and technologies and adapt to changing project requirements.

Experience: Overall 6+ yrs in Data Analysis.

Weekly Hours:

40

Time Type:

Regular

Location:

Chennai, Tamil Nadu, India

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.



Job ID R-27636 Date posted 06/26/2024
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Benefits

Invested in your satisfaction and continued success.

We take care of our own here (hint: that could be you). Our benefits and rewards mean we cover some of your biggest needs with some of the coolest offerings. We already think we’re a pretty great place to work. We’re just trying to rack up some bonus points.

Let’s start with the big one: Your work gets rewarded with competitive compensation and benefits. It really does pay to be on our team.

Compensation

When it comes to priorities, we know family tops the list. For the moments that matter the most, you'll be there for them, and we'll be here for you.

Family Leave

Paid Time Off

Our people have class. Literally. We can help you out on approved education costs with our tuition assistance plan.

Tuition
Assistance

Here’s another reason to breathe easy: You and your family get access to excellent medical, dental and vision insurance options.

Insurance Options

Wanna make your friends really jealous? You’ll get discounted access to the latest and greatest AT&T products and services — plus other awesome items, like tickets to live events.

Discounts

You strike us as an over-achiever (don’t worry, it’s a compliment). Our training and development programs are your ticket to expert status in your job.

Training & Development

When the day comes that you get some much needed R&R (not that you’d ever want to leave #LifeAtATT) you’ll know your future is set with the AT&T Retirement Savings Plan (ARSP).

Savings

Give back to your community and connect with colleagues through social and team-building events, and annual paid time off for volunteer efforts of your choice.

Community & Team Events

Wellness resources and incentives to help you prioritize your health and wellbeing and be your best self inside and outside of work.

Total Wellbeing

The Hiring Process

Step 1

Complete a quick application online and check your status often.

Step 2

Virtual or in-person
Interviews

Dress professionally and ensure good WiFi interviewing virtually.

Step 3

Conditional
Job Offer

After a background check, you're part of the team.

Step 4

Welcome! Onboarding
and Training Begins

Our training and certification programs set you up for success.

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