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Madison Logic

Sr. Data Analyst

Remote Pune, India
MySQL Python AWS SQL
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Description
About Madison Logic:
Our team is reshaping B2B marketing and having fun in the process! When joining Madison Logic, you are committing to giving 100% and always striving for more. As a truly global company, we take pride in a diverse culture free from gender, racial, and other forms of bias.

 Our Vision: We empower B2B organizations globally to convert their best accounts faster

 Our Values:

URGENCY                          Lead with Action. Prioritize Follow-up.
ACCOUNTABILITY         Don't Point Fingers. Take Responsibility.
INNOVATION                   Think Big. Innovate.
RESPECT                            Respect Customers. Respect Each Other.
INTEGRITY                        Act Ethically. Lead by Example.

At ML you will work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!

About the Role:
In this role, you will write complex queries to create datasets for applications and Dashboards (BI) to use. Develop easy to understand reports using snowflake SQL. Optimize and streamline the way data is viewed. In this highly collaborative role, you will work closely with the architecture and data teams to reach business objectives.
The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth.

Responsibilities:

  • Analyze data and uncover insights to help improve business performance and increase efficiency
  • Develop, implement, and optimize queries using Snowflake
  • Develop queries for applications and business intelligence reporting
  • Use SQL(snowflake) to create reports, dashboards, and visualizations
  • Aggregate/Model data and use that data to build reports in Domo
  • Analyze data to help improve business performance
  • Identify the best data sources for a given analysis
  • Develop processes for data mining, data modeling, and data production
  • Offer insights and recommendations to improve data reliability and quality

Basic Responsibilities:

  • On-site working at the ML physical office, 5-days per week required
  • Ability to work UK Shift Timing (11:00am – 8:00pm Local Time) Required
  • Fluent in English language (verbal and written) and possessing a clear and concise communication style
  • University degree +6 years of practical experience
  • 5+ year’s experience with SQL or mySQL
  • 4+ year’s experience with Python
  • 3+ year’s experience with cloud computing services (AWS)
  • Experience working with data cleaning and standardizing process

Desired Characteristics:

  • Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options
  • Strong sense of urgency required
  • Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions
  • Strong interpersonal skills, high level of professionalism and integrity
  • Excellent organizational and project management skills
  • Experience handling multiple responsibilities, tasks, and projects in a fast-paced environment preferred
  • A positive attitude that approaches tasks/projects from a hands-on, roll up your sleeves frame of mind
  • Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.

India-Specific Benefits

  • 5 LPA Medical Coverage
  • Life Insurance
  • Provident Fund Contributions
  • Learning & Development Stipend (Over-And-Above CTC)
  • Wellness Stipend (Over-And-Above CTC)
  • Transportation available for female team-members with shifts starting or ending between the hours of 9:30pm and 7:00am
  • Welcoming in-office environment (located within AWFIS co-working space, Amanora Mall)
Work Environment:
We offer a mix of in-office and hybrid working. Hybrid remote work arrangements are not available for all positions. Please refer to the job posting detail to determine what in-office requirements apply. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.

Pay Transparency/Equity:
We are committed to paying our team equitably for their work, commensurate with their individual skills and experience.  Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.
We will provide more information about our perks & benefits upon request.

Our Commitment to Diversity & Inclusion:
Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

Privacy Disclosure:
All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only. 

For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/). 
Madison Logic
Madison Logic
Advertising Analytics Digital Media Lead Generation

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