Data Analyst II at MiQ Digital

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Excel, Google Sheets, Python, R, Data Pre-Processing, Data Storytelling, Attention to Detail, Agile Framework, Communication Skills, Problem Solving, Data Cleaning, Feature Creation, Anomaly Detection, Continuous Improvement

Industry

Advertising Services

Description

Role: Data Analyst II - PDS Location: Bengaluru What you’ll do We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better. As a Data Analyst II in our data science department, you’ll have the chance to: Be a part of execution of Data science projects and a key player in promoting data assets at MiQ Act as a bridge between raw data and impactful business and product decisions Gain in-depth understanding of media related datasets and ad-tech domain to expand existing insights and create new insights Ensure actionable insights are delivered by utilizing all our rich data in conjunction with source and geo specific data. Who are your stakeholders? The Data Analyst’s internal customers / stakeholders include: Product Management: The Data Analyst works closely with the Product team to help validate frameworks for business impact monitoring through exploration and helping define next steps for insight development. What you’ll bring 2-4 years of experience in solving business problems and offering actionable insights. Strong experience with advanced SQL Intermediate experience with Excel / Google Sheets Experience with at-least one programming language - e.g. Python, R Act as a bridge between raw data and impactful business and product decisions by translating data into clear product insights Experience in data pre-processing including (data cleaning, feature creation, anomaly detection and treatment) Experience in delivering data analytics projects leveraging Analytic toolkit (EDA, Data Analysis etc) Continuous improvement and optimization of existing solutions based on evolving product needs with guidance from senior team members Data storytelling to communicate complicated data solutions to non technical stakeholders with guidance Attention to details and ability to timely deliver Comfortable working in agile framework Strong written and verbal communication skills. Willingness to try new technologies and languages and ability to grasp and learn quickly. Bachelor’s or master’s degree in any engineering discipline / MBA We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create? The Data Analyst helps scope and validate insights and logics that product wants to expand or build on to drive Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign, which consequently contributes to MiQ’s Revenue and Gross Profit. The Data Analyst works closely with other analytics peers and product managers and data scientists to build consumable Product insights that enable key internal stakeholders to discover right audience insights, setup and optimise digital advertising campaigns, and measure the success of these campaigns. The Data Analyst focuses on onboarding new datasets and validating if the right dimensions are captured to build logics on the same, monitoring business impact, and gathering feedback on the data solutions to make sure quality products and features are released to stakeholders. The Data Analyst brings in acute analytical skills to discover patterns and anomalies in the datasets, and help make informed decisions when it comes to development and data partnerships What’s in it for you? Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work. Values Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office has specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job-specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities Apply today! Equal Opportunity Employer

Responsibilities

The Data Analyst II will execute data science projects and deliver actionable insights to support business and product decisions. They will work closely with product management to validate frameworks for business impact monitoring and develop insights from media-related datasets.