4+ Data mining Jobs in Bangalore (Bengaluru) | Data mining Job openings in Bangalore (Bengaluru)

Role Summary:

As a Digital Marketing Strategist specializing in SEO at Valuebound, you will develop and execute strategies to enhance our digital presence and search engine ranking. You'll be responsible for analyzing, reviewing, and implementing changes to websites to optimize for search engines, thereby increasing traffic and improving page rank within search engines.

Responsibilities:

- Conduct keyword research and use SEO guidelines to increase web traffic on our US/UK website pages.

- Monitor daily performance metrics with SEO tools and analytics.

- Collaborate with content marketing and design teams to drive SEO in content creation and content programming.

- Recommend changes to website architecture, content, linking, and other factors to improve SEO positions for target keywords.

Requirements:

- Proven experience as an SEO specialist or similar role.

- Understanding of search engine algorithms and ranking methods.

- Experience with SEO industry programs, such as Google Analytics or Adobe Analytics.

- Knowledge of keyword research and data mining tools.

- It would be preferable to have some experience in a similar industry as us.

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
• Has a Bachelor's, Master's in Computer Science or another quantitative field
• Knowledge and experience in statistical and data mining techniques :
• GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
• Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

• Be a passionate advocate for customers and help ensure thorough and intuitive customer journeys.
• Targeting customers with better customer segmentation, hypotheses, testing with experiments, campaign analytics, communication process ,automation, and competitive benchmarking.
• Working closely with Product, Analytics, Business and Design teams
• Owning one or more key traffic channels for a category (Personal Loans,
• Home Loans, Health Insurance and Mutual Funds) and build the optimum funnel for the business.
• Conceptualize, design and execute initiatives through extensive experiments.
• Work on new product, features and scheme launches, and making the successful by targeting customers through various channels
• Analyse traffic patterns and optimize for seasonality, relevance, and selection
• Regularly develop, test and analyse new tactics that sell products across all categories and increase conversion rates, documenting the results and sharing best practices with the team
• Own projects with considerable scope and/or complexity with significant impact on customer experience

BASIC QUALIFICATIONS

• 1-3 years of experience in roles requiring high analytical skills
• Experience using data and metrics to measure impact and determine improvements
• Experience in making data-driven decisions, developing customer insights from data and creating strategies to improve conversion and sales.
• Understanding of product funnel and journeys.
• Excellent written and oral communication skills, with the ability to communicate effectively in reviews and meetings